Postdoctoral Openings

Position Description

A postdoctoral research position is available under the supervision of Drs. Peder Larson and Thomas Hope in the University of California – San Francisco (UCSF) Department of Radiology and Biomedical Imaging. This position focuses on the development and application of cutting-edge artificial intelligence methods for automated analysis of cancer imaging data, with an emphasis on integrating large language models (LLMs) with image-based segmentation and interpretation algorithms. A primary application will be segmentation and quantitative analysis of PSMA PET imaging in prostate cancer, with additional projects spanning radiology-based AI applications across modalities. UCSF has led the clinical translation of PSMA PET imaging, and this position represents a key next step in developing advanced computational tools to maximize its clinical and research utility. The successful candidate will also benefit from active collaborations with multiple industry partners, providing exposure to translational and commercial development pipelines.

Position Qualifications

Responsibilities include: 

• Developing and validating deep learning models for medical image segmentation, with a focus on PSMA PET and broader radiology applications 
• Designing and implementing pipelines that integrate LLMs with image-based analysis algorithms for enhanced interpretation and reporting 
• Curating and managing large-scale cancer imaging datasets in collaboration with clinical and industry partners 
• Disseminating research findings through peer-reviewed publications, with target venues including Radiology: Artificial Intelligence, Journal of Nuclear Medicine, and IEEE Transactions on Medical Imaging and related IEEE journals 
• Contributing to grant applications and collaborative research projects across academic and industry settings 
• Developing independence to lead research project directions and new grant applications

How to Apply

Please email your CV, cover letter, research interest, and references to [email protected]

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 6.30.26}

Position Description

The University of California, San Francisco, is recruiting a Postdoctoral Scholar for a multi-year position beginning August or September 2026. The scholar will work with Dr. Jennifer James and play a leading role in a large NIH-funded grant on healthcare and decision-making for incarcerated patients in the hospital setting. The selected candidate will join an interdisciplinary team of researchers, students, clinicians, and community members dedicated to conducting innovative, collaborative research. We seek a postdoc who has a strong interest in ethics and social justice, a passion for equity-driven research, and a commitment to interrogating systems of power and oppression. The funded project is a multi-year institutional ethnography, which will require exceptional qualitative research skills and an interest in participatory action research.

Position Qualifications

• PhD in the social sciences (e.g., sociology, anthropology, bioethics, ethnic studies) 
• Advanced qualitative methods skills, including: Ethnography, interviews, focus groups, analysis, and writing 
• Excellent written and verbal communication skills 
• Ability to work both independently and collaboratively in a fast-paced, team-based research environment 
• Strong organizational skills and attention to detail to manage multiple study aims and deadlines 
• Passion and excitement for ethnographic field work, community-based research, and collaboration with team members of varied research experience
• This position requires residence in the San Francisco Bay Area and the ability to conduct research onsite in San Francisco. Due to the project's ethnographic nature, there is no flexibility in the residency requirement. 
• Candidates with prior experience conducting research about incarceration, and in partnership with people with lived experience of incarceration, are highly encouraged to apply

Research Environment

The selected candidate will join the Institute for Health and Aging in the School of Nursing. They will be part of a collaborative, interdisciplinary research community. There will be ample opportunities to first-author publications as well as mentorship and career development support from the PI and investigator team.

How to Apply

Please send a single PDF comprising: 

• a cover letter (please describe your past research, your interests, and your career goals) 
• a current CV including a publication list 
• a writing sample (published or unpublished) which demonstrates your methodological expertise and theoretical approach 
• names and contact information of three references 

Email your application to Dr. Jennifer James at [email protected], with the subject line “Postdoc Application."

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 6.30.26}

Position Description

The Singh Lab at UCSF www.singhlabucsf.org is recruiting multiple postdoctoral fellows to develop next-generation AI and machine learning approaches to study aging and to develop interventions for healthy longevity. Located at the UCSF Parnassus campus, our lab works at the intersection of high-dimensional data science and mechanistic discovery. You will design deep learning and generative models integrating cross-species large-scale single-cell and multi-omic datasets to map conserved aging trajectories and predict intervention outcomes. A major focus includes leveraging structure-based models to advance predictive design of macromolecules. While your primary work will be computational, our lab uniquely bridges prediction and validation. You will collaborate closely with team members, leveraging the African killifish model system to experimentally track and test ML-driven findings in vivo.

Position Qualifications 

• PhD in computer science, bioinformatics, computational biology, biomedical engineering, statistics, or a related field. 
• Strong track record of developing or customizing machine learning/deep learning approaches for complex biological data. 
• Experience with high-dimensional biological datasets (single-cell, multi-omics, clinical, or spatial datasets). 
• Proficiency in Python (preferred) and/or R, and experience working in Unix/Linux-based HPC and cloud environments. 
• Strong publication record and excellent communication skills. 
• Ability to work collaboratively in an interdisciplinary environment. 
• Direct experience developing or deploying AI models for biomolecular structure prediction or design is highly preferred, including genome or protein language models, geometric deep learning, docking, or generative approaches (e.g., AlphaFold, RoseTTAFold, ESM, DiffDock, RFdiffusion, or related methods).

Research Environment

We are an interdisciplinary lab located at UCSF Parnassus campus and affiliated with the Bakar Aging Research Institute (BARI) and the Bakar Computational Health Sciences Institute (BCHSI), providing exceptional career development and collaboration opportunities spanning AI/ML, genomics, aging biology, and regenerative medicine across UCSF.

How to Apply

Email your detailed CV with a list of publications, a cover letter summarizing your research interests/fit, and the contact information for three references to [email protected].

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 6.30.26}

Position Description

The Singh Lab at UCSF www.singhlabucsf.org is recruiting multiple postdoctoral fellows to study vertebrate aging and developmental diapause in the African killifish. Located at the UCSF Parnassus campus, our lab combines cutting-edge experimental approaches with cross-species comparative genomics and machine learning to target conserved mechanisms of aging, age-related disease, and complex phenotypes such as developmental diapause. You will lead independent research to understand the molecular and cellular mechanisms that regulate aging, tissue resilience, and cellular survival. A central component of this role is to develop new transgenic lines and experimental approaches to understand the biology of aging and identify mechanisms that promote healthy longevity. Working closely with computational biologists, you will translate discoveries from cross-species single-cell and multi-omic datasets into mechanistic insight through in vivo experimental validation. We primarily use African killifish as our model system. Several killifish species possess a naturally compressed ~6-month lifespan and the remarkable ability to enter embryonic suspended animation (diapause), providing a uniquely powerful vertebrate system for studying vertebrate aging.

Position Qualifications 

• PhD or MD/PhD in developmental biology, genetics, molecular biology, cell biology, or a related biomedical field.
• Strong track record of peer-reviewed publications demonstrating aptitude in designing and executing robust experimental protocols. 
• Proven expertise in advanced molecular and cell biology techniques (e.g., molecular cloning, advanced imaging, or cell culture). 
• Experience with CRISPR-based genome manipulation (such as microinjections, knockouts, knock-ins, or functional screens). 
• Experience with next-generation sequencing library preparation workflows (e.g., tissue dissociation, single-cell/nucleus, multiomic, or spatial biology is a plus). 
• Excellent communication skills and a desire to work closely with computational biologists in a collaborative, interdisciplinary setting. 
• Candidates with multidisciplinary expertise are highly encouraged to apply.

Research Environment

We are an interdisciplinary lab working at the interface of experimental and computational biology. Our lab is affiliated with the UCSF Bakar Aging Research Institute (BARI) and the Bakar Computational Health Sciences Institute (BCHSI), providing exceptional career development and collaboration opportunities spanning aging biology, regenerative medicine, genomics, and computational science across UCSF.

How to Apply

Email your detailed CV, a cover letter summarizing your research interests and fit, and contact information for three references to [email protected].

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 6.30.26}

Position Description

The NeuroAI Lab at UCSF, led by Prof. Pedro Pinheiro-Chagas, and the UCSF Brain Health Registry, led by Prof. Rachel Nosheny, invite applications for a postdoctoral position focused on designing and developing conversational AI agents for neurology and healthcare. The successful candidate will join a multidisciplinary team at the intersection of cutting-edge AI and cognitive neuroscience, with the aim to advance discovery, diagnosis, and care of neurodegenerative diseases. The fellow will lead the development of voice-based conversational AI systems for scalable clinical assessments, cognitive screening, patient monitoring, and care delivery. Current projects include AI-administered clinical interviews such as the Clinical Dementia Rating (CDR) — a crucial tool for assessing the severity and progression of dementia — in collaboration with Michael W. Weiner, M.D., with additional applications spanning clinical data collection, symptom tracking, and patient-facing health interactions across neurology. The fellow will design and build generative AI systems featuring advanced agentic pipelines, speech-to-speech conversational interfaces, leveraging prompt engineering and alignment techniques to optimize reliability, transparency, and safety across clinical applications. Key responsibilities include: architecting end-to-end conversational AI workflows, rigorous benchmarking with real and simulated users, developing automated scoring and analysis pipelines, and maintaining security and regulatory compliance within HIPAA-compliant platforms. The candidate will advance AI alignment by ensuring model outputs robustly serve clinical intent and patient well-being, actively minimizing risks such as hallucinations and potential adverse events through continuous evaluation, testing, and iterative system refinement. The fellow will also disseminate research through conferences and publications, contributing to both the AI and clinical neuroscience fields.

Position Qualifications 

Required Qualifications: 

• Ph.D. in Computer Science, Computational/Cognitive Neuroscience, Biomedical Engineering, Biostatistics, Data Science, or a related discipline.
• Expertise in machine learning, with a strong foundation in deep learning and generative AI, particularly with Python.
• Experience in NLP and LLMs. (Direct experience with conversational AI agents is highly desirable)
• Experience working with clinical, cognitive, or health-related datasets. (Direct experience with neurodegenerative disease data is highly desirable)
• Track record of scientific publication and strong scientific writing skills.
• Experience with or willingness to learn agentic frameworks for advanced AI workflows
• Knowledge of data security, privacy, and regulatory standards for clinical applications (e.g., HIPAA compliance).
• Ability to work independently and collaboratively within multidisciplinary teams, demonstrating adaptability in a fast-paced research environment.

Research Environment

The NeuroAI Lab is directed by Pedro Pinheiro-Chagas, PhD, and operates at the UCSF Edward and Pearl Fein Memory and Aging Center (MAC) in the Department of Neurology of the Weill Institute for Neurosciences. The lab is also affiliated with the Bakar Computational Health Sciences Institute and the Center for Intelligent Imaging (ci2). The UCSF Brain Health Registry (BHR), led by Rachel Nosheny, PhD, is an internet-based platform for recruiting, assessing, and longitudinally monitoring participants in neuroscience studies, with over 100,000 registered participants. The BHR enables large-scale remote cognitive assessment and clinical trial recruitment for Alzheimer's disease, Parkinson's, and other brain disorders. This joint environment provides the postdoctoral fellow with direct access to world-class clinical collaborators, deeply phenotyped patient cohorts, large-scale participant registries, and cutting-edge computational infrastructure. The fellow will benefit from close co-mentorship by Dr. Pinheiro-Chagas and Dr. Nosheny, along with senior collaborators across neurology, psychiatry, and neuropsychology, with opportunities to present at international conferences, lead publications, and develop an independent research profile. The UCSF Fein MAC is one of the premier dementia research centers in the world, offering an exceptionally rich and collaborative environment for translational neuroscience and clinical AI research.

How to Apply

Please send a cover letter explaining your background, relevant experience, and specific fit for our lab and this project, a CV, and three names of references to: [email protected] and [email protected].

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 7.6.26}

Position Description

A postdoctoral position is available for a highly motivated candidate with a strong background in biomechanics, neurorehabilitation, and/or neuromuscular physiology to join the Block Lab in the Department of Physical Therapy and Rehabilitation Science at the University of California, San Francisco (UCSF), California, USA. The goal of our research program is to develop and evaluate patient-centered, mechanism-driven interventions to improve mobility and quality of life in people with multiple sclerosis (MS). The successful candidate will contribute to an NIH-funded randomized controlled trial evaluating a novel, multi-muscle functional electrical stimulation (FES) system (Cionic Neural Sleeve) designed to improve gait function. This study integrates detailed biomechanical assessments (instrumented walkway, spatiotemporal gait metrics), neuromuscular measures (surface electromyography, strength testing), and real-world outcomes (remote activity monitoring, patient-reported outcomes). In addition to evaluating functional improvements, the project includes an implementation science component aimed at understanding barriers and facilitators to sustained device use in real-world settings. The Block Lab is embedded within the UCSF Weill Institute for Neuroscience and the MS Center, a large, multidisciplinary clinical and research program with extensive experience in clinical trials, digital health, and longitudinal monitoring in MS. The postdoctoral scholar will work closely with an interdisciplinary team, including neurophysiotherapists, neurologists, biomechanists, and biostatisticians.

Position Qualifications 

Requirements: 

1. Completed Ph.D. (or equivalent) in Rehabilitation Science, Biomechanics, Biomedical Engineering, Kinesiology, or a related field. 
2. Strong experience in gait analysis (e.g., instrumented walkways, motion analysis systems, or similar approaches). 
3. Experience with neuromuscular data (e.g., surface EMG) and/or muscle function assessment. 
4. Proven ability to communicate research findings through oral presentations and peer-reviewed publications. 
5. Ability to work collaboratively within a multidisciplinary team. 
6. Prior experience working with research participants or patients preferred. 

Preferred characteristics: 

1. Experience with analysis of spatiotemporal gait data and/or wearable sensor data. 
2. Clinical training as a physical therapist (DPT or equivalent) is preferred but not required. 
3. Experience with statistical programming (e.g., R, Python, MATLAB). 
4. Interest in learning or experience in implementation science, patient-centered outcomes, or real-world data. 
5. Interest in neurorehabilitation and/or multiple sclerosis.

Research Environment

The successful candidate is expected to contribute to data analysis, manuscript preparation, and dissemination of findings in peer-reviewed journals and conferences. Opportunities are available to contribute to grant writing, develop independent research questions, and gain experience in clinical trial design and implementation science. Mentorship will be provided to support career development and transition to independence.

How to Apply

Interested individuals are encouraged to email a curriculum vitae, a statement of research interests, and contact information for three references to: [email protected] 

Lab Website: https://blocklab.ucsf.edu/

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 7.15.26}

Position Description

Onur Cil, MD, PhD, is hiring postdoctoral fellows to join his lab at UCSF. The laboratory’s research focuses on disease mechanisms, drug discovery, and drug repurposing. Epithelial diseases are the major focus of the lab, including renal, gastrointestinal, cardiovascular, pulmonary, and ocular conditions. Some examples of the diseases of interest include kidney stones, edema, polycystic kidney disease, hypertension, diarrhea, constipation, inflammatory bowel disease, cystic fibrosis, asthma, and dry eye. In addition to mechanistic studies to elucidate disease mechanisms, we perform high-throughput screening of small molecule libraries using cell-based assays developed in the lab, and compound testing and optimization using cellular assays and rodent models. The identified compounds are used for hypothesis-driven physiological research and as candidates for drug development for human diseases. The Cil laboratory is well-funded and has active collaborations with international research groups. For more information on the research program, visit https://cillab.ucsf.edu/

Position Qualifications 

Applicants for the postdoctoral positions must hold a Ph.D., M.D./Ph.D. or equivalent degree. Background in molecular and cellular biology required, with experience in cell culture and animal models. The candidates with experience in assay development and high-throughput screening are encouraged to apply. Ideal candidates should have good written/oral communication skills, the ability to work effectively in a team environment, be highly organized, and have a documented record of research accomplishments. The candidates will participate in grant preparation, manuscript writing, and presentation of research at scientific conferences.

How to Apply

Applicants should send a brief description of their research interests and a curriculum vitae that includes contact information for three references to [email protected]

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 7.15.26}

Position Description

Dr. Duygu Tosun (UC San Francisco – Radiology), Dr. Oliver Robinson (Imperial College London – Molecular Epidemiology), and Dr. Aaron Wolfe Scheffler (UC San Francisco – Biostatistics) are seeking a highly motivated Post-Doctoral Research Associate for a collaborative, international research program studying Alzheimer's disease progression. As part of the ATLAS (Amyloid-to-Tau Latency Assessment Score) Consortium – funded by the Dementia Frontiers Fund – you will join a highly synergistic, transatlantic team spanning computational neuroimaging, multi-omics, epidemiology, and translational genomics across the US, UK, and Spain. Our team is developing advanced statistical methods to predict, at the individual level, when cognitively normal people who show early signs of Alzheimer's pathology will progress to symptomatic disease. The motivating data are exceptionally rich, spanning longitudinal imaging, cerebrospinal fluid, blood biomarkers, and high-dimensional proteomic and novel molecular data across large international cohorts. Given the geographically distributed nature of this consortium, this role requires exceptional independence, self-direction, and the ability to seamlessly integrate into a remote, virtual collaborative environment. 

The postdoctoral associate will be responsible for executing large-scale data harmonization and implementing/developing new methodologies related to the following areas: 

• Bayesian Disease Progression Modeling: Develop and apply Bayesian Biomarker Modeling (BBM) frameworks utilizing longitudinal biomarker data. 
• Survival Analysis & Time-to-Event Modeling: Build core multivariable survival models, including advanced multi-task learning architectures. 
• Missing Data & Harmonization Methods: Implement multi-cohort data harmonization strategies and develop robust methods for handling complex, block-missing data across diverse global datasets. 
• Measurement Error: Apply and develop measurement-error methods tailored for high-dimensional, multi-modal integration. 
• Virtual Transatlantic Collaboration: Work directly and communicate effectively with an international team of leading biostatisticians and neuroscientists across multiple time zones, utilizing online collaboration tools. 
• Scientific Dissemination: Publish high-impact papers in both methodological and applied areas, and create open-source software for broad scientific dissemination.

Position Qualifications 

Education: Doctorate in Biostatistics, Statistics, Computational Biology, or a related field (at the time of appointment). 

Expertise: Demonstrated expertise and interest in one or more of the core research areas listed above (Bayesian modeling, survival analysis, missing data, or measurement error). 

Virtual Work Skills: Exceptional written and oral communication, organization, and planning skills, with a proven ability to independently manage complex statistical workflows in a virtual/remote setting. 

Research Environment

Career Development & Mentorship: The postdoctoral scholar will have the opportunity to work directly with a highly synergistic international team spanning computational neuroimaging, multi-omics, epidemiology, and translational genomics. The position is crafted as a career-building opportunity for a junior scholar with an interest in the interface between biostatistical application and methodological development. The postdoc will be trained to conduct and present research, build regular collaborations with leading biostatisticians and neuroscientists, publish papers on applications and methodology, and develop software for dissemination. Furthermore, the postdoc will be offered mentored opportunities to participate in grant writing as desired to foster their trajectory toward independent research leadership. 

Working Conditions/Environment: We offer a casual yet highly professional work environment where attention to detail and the ability to meet deadlines are absolute requirements. The Post-Doctoral Associate must be adaptable and comfortable working closely with a prolific, high-energy Principal Investigator and a globally distributed team with complex scheduling needs. All employees are obligated to meet the highest ethical standards with respect to accuracy, conflicts of interest, intellectual property rights, data confidentiality, and respect for information sources and readers. Work involves sustained posture in a seated position and prolonged use of a computer terminal.

How to Apply

To apply, please email [email protected] with the subject line "ATLAS Postdoc" and include the following: 

• Most recent CV 
• A writing sample (e.g., a published or an arXiv paper) 
• Contact information for 2–3 references

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 8.3.26}

Position Description

The Medical Imaging Informatics & Artificial Intelligence (MedAI) team at UCSF is seeking a talented, highly motivated full-time Post-Doctoral Research Associate to actively drive the computational neuroscience modules of the ATLAS (Amyloid-to-Tau Latency Assessment Score) Consortium. Funded by the prestigious Dementia Frontiers Fund, this trans-Atlantic initiative brings together world-leading experts across the US, UK, and Spain to develop dynamic, time-to-event prognostic frameworks for Alzheimer’s Disease. As a primary analytical driver on this team, you will apply advanced multi-modal, systems biology approaches to shift the field from static biomarker staging to predicting individualized disease progression. You will leverage massive, harmonized global datasets – encompassing longitudinal fluid biomarkers (plasma, CSF), brain MRI (T1, FLAIR), PET, multi-omics, and neuropathology – to build machine-learning-based models that predict disease tempo at a single-case level. Given the geographically distributed nature of this international consortium, this role requires exceptional independence, self-direction, and the ability to thrive in a remote, virtual collaborative environment. 

Essential Functions: 

• Multi-Modal Data Integration: Collaborate seamlessly with an international team of biostatisticians and multi-omics postdocs to integrate neuroimaging and latency models with systemic biological aging and high-dimensional proteomic networks. 
• AI-Driven Pathology Imputation: Train and deploy advanced artificial intelligence and machine learning (AI/ML) classifiers on structural MRI (T1-weighted and FLAIR) to non-invasively impute the presence of hidden, co-occurring neurodegenerative pathologies against autopsy-confirmed ground truth datasets. 
• Scientific Dissemination: Serve as a lead/first author on critical methodological and clinical publications. Communicate complex findings clearly to domestic and international collaborators and present at major global conferences (e.g., AAIC, CTAD, ADPD). 
• Patient & Public Integration: Participate in our Community-Scientist Partnership Group (CSPG) panels to learn how to ethically and empathetically translate complex computational prognostic predictions into patient-centered clinical tools. 
• Data Stewardship: Maintain high levels of quality control across all complex, harmonized datasets and organize confidential project materials.

Position Qualifications 

Minimum education: PhD or equivalent doctorate in neuroscience, neuroimaging, computational biology, bioengineering, or closely related field, awarded within the past three years. 

Minimum experience: 2-5 years of relevant research experience in the field 

Required skills: Demonstrated expertise in complex statistical analysis, machine learning/artificial intelligence, project management, and scientific research. Exceptional written and oral communication, organization, planning, and problem-solving skills. 

Preferred Qualifications: 

• Extensive experience analyzing Alzheimer’s Disease neuroimaging and fluid biomarkers, with a strong understanding of neurodegenerative disease pathophysiology. 
• Proven experience in machine learning-based computational modeling (e.g., Bayesian inference, LASSO, deep learning architectures). 
• High competence in handling, harmonizing, and analyzing large, complex datasets (e.g., ADNI, ADSP-PHC). 
• Advanced coding proficiency in Bash, MATLAB, Python, and/or R. 
• A strong, demonstrated publication record and the ability to work independently. 
• Excellent organizational skills with meticulous attention to detail and the ability to quickly prioritize work assignments to meet grant deadlines. 

Research Environment

Career Development & Mentorship: The postdoctoral scholar will have the opportunity to work directly with a highly synergistic international team spanning computational neuroimaging, multi-omics, epidemiology, and translational genomics. The ATLAS Consortium is designed as a high-impact incubator for the next generation of dementia research leaders. You will be supported by a structured Individual Development Plan (IDP) reviewed quarterly, gain cross-disciplinary training at the intersection of computational neuroimaging and bioinformatics, and receive fully sponsored opportunities to present your findings on international stages. The postdoc will be trained in conducting and presenting research, building regular collaboration with leading biostatisticians and neuroscientists, publishing papers in application and methodology, and creating software for dissemination. Furthermore, the postdoc will be offered mentored opportunities to participate in grant writing as desired to foster their trajectory toward independent research leadership. 

Working Conditions/Environment: We offer a casual yet highly professional work environment where attention to detail and the ability to meet deadlines are absolute requirements. The Post-Doctoral Associate must be adaptable and comfortable working closely with a prolific, high-energy Principal Investigator and a globally distributed team with complex scheduling needs. All employees are obligated to meet the highest ethical standards with respect to accuracy, conflicts of interest, intellectual property rights, data confidentiality, and respect for information sources and readers. Work involves sustained posture in a seated position and prolonged use of a computer terminal.

How to Apply

To apply, please email [email protected] with the subject line "ATLAS Postdoc" and include the following: 

• Most recent CV 
• A writing sample (e.g., a published or an arXiv paper) 
• Contact information for 2–3 references

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 8.10.26}

Position Description

The Gaensler Laboratory at the University of California, San Francisco is seeking a motivated Postdoctoral Scholar to lead and conduct translational and preclinical research supporting the development of the laboratory’s leukemia immunotherapy program, including the TriLeukeVax platform. The successful candidate will design and perform molecular, cellular, and immunologic experiments; develop and optimize immune-monitoring assays; analyze and interpret complex experimental and clinical datasets; and support preclinical, IND-enabling, and clinical correlative studies associated with a Phase 1 clinical trial. Additional responsibilities will include collaborating with multidisciplinary investigators at UCSF, UCLA, and external partner institutions; preparing manuscripts, scientific presentations, and grant applications; mentoring junior laboratory personnel; and ensuring that research activities comply with institutional, biosafety, and regulatory requirements. The scholar will have opportunities to contribute intellectually to the direction of the research program and develop independent research projects related to leukemia immunotherapy and translational cancer research. This position is not eligible for visa sponsorship.

Position Qualifications 

Applicants should possess: 

• A PhD, MD, or equivalent doctoral degree in immunology, hematology, cancer biology, molecular biology, biomedical sciences, or a related discipline 
• Experience with cellular and molecular biology techniques 
• Experience in immunology, immune-monitoring assays, flow cytometry, or related methodologies 
• Experience with leukemia, cancer immunotherapy, translational research, or preclinical research preferred 
• The ability to independently design experiments, analyze complex datasets, troubleshoot technical challenges, and develop new methodologies 
• A strong record of scientific productivity 
• Excellent written and oral communication skills 
• The ability to work effectively in a multidisciplinary and collaborative research environment 
• An interest in preparing manuscripts, presentations, fellowship applications, and grant proposals

Research Environment

The Gaensler Laboratory is part of the Division of Hematology/Oncology within the UCSF Department of Medicine. The laboratory conducts translational research focused on leukemia immunotherapy and the development of novel vaccine-based treatment strategies. The Postdoctoral Scholar will work in a collaborative biomedical research environment with investigators at UCSF, UCLA, and external partner organizations. The position offers exposure to research spanning preclinical development, immune-monitoring assay development, IND-enabling studies, and clinical correlative research associated with a Phase 1 clinical trial. The Scholar will receive direct scientific mentorship and will have opportunities to collaborate with clinicians, basic scientists, translational researchers, and other members of multidisciplinary research teams. Training opportunities include experimental design, data analysis, scientific writing, manuscript preparation, grant development, conference presentations, and mentorship of junior trainees. The UCSF postdoctoral community also provides access to institutional professional development programs, research seminars, career resources, core facilities, and ongoing training for academic and industry career pathways.

How to Apply

Applicants should submit the following materials to Jacqueline Tidball, Project Manager, [email protected], as a single PDF: 

• A cover letter describing previous research experience, current research interests, and career goals 
• A current curriculum vitae, including a publication list 
• The names and contact information of three professional references

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

_{Posted: 8.3.26}

Position Description

Two postdoc positions are now available in the Rudrapatna Lab. The postdoc will develop and conduct studies involving the analysis of EHR and other large clinical datasets to answer important clinical questions and improve decision-making related to the timely diagnosis, treatment, monitoring, and prevention of disease, in general, and specifically in the context of inflammatory bowel disease.

Position Qualifications 

MD preferably with an additional research degree (MPH, MS, MSCE, MAS), or PhD in clinical informatics, biostatistics, epidemiology, clinical AI, or equivalent. A basic understanding of causal inference and retrospective cohort studies is required. Candidates with bioinformatics, applied math, or computer science degrees may be considered, but they should have coursework or maturity in applying epidemiological principles to the analysis of clinical data. Exposure or experience with concepts like offline reinforcement learning, causal machine learning (e.g., TMLE, DML), deep learning (particularly training and fine-tuning models like LLMs), and natural language processing are a plus, especially if applied to a healthcare context.

Research Environment

The lab is located at the Bakar Computational Health Sciences Institute, the home for all computational health research at UCSF. We are affiliated with many key departments and institutes at UCSF, including the Department of Medicine (Division of Gastroenterology) within UCSF Health, the Epi/Biostats Department, DoC-IT, and the Comp Precision Health PhD program at UCSF and UC Berkeley. We have access to deidentified clinical data (including 300M+ clinical notes, images, and more), GPU-based computing, and expertise from the basic, translational, and clinical sciences across UCSF.

How to Apply

Email a CV and statement of interest to Vivek Rudrapatna [email protected]

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 8.3.26}

Position Description

The Bodansky Lab at the University of California, San Francisco is recruiting a highly motivated postdoctoral scholar to uncover the mechanisms of enigmatic, life-threatening pediatric diseases. We develop and apply cutting-edge immunologic technologies to determine how antibodies, B cells, and T cells shape susceptibility, pathology, and protection across pediatric health and critical illness. A major focus is the human autoreactome—the stable, individual-specific repertoire of autoantibodies present in every person—and how it is established, reshaped by viral infection, and linked to immune dysregulation. The fellow will lead projects leveraging the Bodansky Lab and UCSF Child Health Advanced Molecular Phenotyping (CHAMP) program’s end-to-end infrastructure for identifying highly informative patients, obtaining deeply characterized biospecimens from diverse biofluids and tissues, and integrating them with advanced immune profiling and computational analysis. This approach recently defined the autoreactome, resolved molecular mimicry as the mechanism of a life-threatening postviral inflammatory syndrome, and identified the autoreactive B and T cell responses directed against the brainstem in ROHHAD, a previously unexplained and often fatal pediatric disease. The fellow will have access to a rare combination of precious, deeply characterized clinical specimens, including longitudinal blood, cerebrospinal fluid, respiratory samples, tumors, and injured tissues collected during active disease and before and after therapy, and advanced technologies spanning proteome-wide antibody profiling, single-cell B- and T-cell receptor sequencing, antigen and epitope discovery, functional immune-receptor reconstruction, metagenomic sequencing, and computational analysis. These resources will enable mechanistic studies across pediatric autoimmune and paraneoplastic disease, ARDS, sepsis, postinfectious inflammatory syndromes, and other forms of severe immune dysregulation, with the goal of identifying pathogenic immune responses and infectious triggers, distinguishing harmful from protective immunity, and translating discoveries into new diagnostic and therapeutic strategies. The fellow will take intellectual ownership of one or more major projects, lead manuscripts, present at scientific meetings, mentor junior trainees, pursue independent funding, and develop a distinct research direction within the broader program. 

Position Qualifications 

Applicants should hold, or be nearing completion of, a PhD, MD, MD/PhD, or equivalent doctoral degree in immunology, molecular biology, microbiology, virology, genomics, computational biology, bioengineering, or a related field. Strong candidates will have: • Rigorous training in multiple relevant experimental and/or computational disciplines. • Experience in areas such as B- or T-cell biology, antibody discovery, single-cell genomics, immune-repertoire analysis, functional immunology, host–pathogen biology, or high-dimensional data analysis. • A record of scientific productivity and intellectual independence. • Strong experimental reasoning and communication skills. • The ability to collaborate across clinical, experimental, and computational teams. • Enthusiasm for difficult biological problems in which the mechanism, antigen, pathogen, or optimal experimental system may initially be unknown. Applicants are not expected to have expertise in every technology used by the program. We are particularly interested in candidates with deep expertise in one area who want to expand into complementary approaches. 

Research Environment

The lab is based at UCSF Mission Bay and is embedded within a broad, highly collaborative scientific community spanning immunology, infectious disease, neurology, rheumatology, oncology, genetics, transplantation, and computational biology. Close ongoing partnership with the DeRisi Lab provides trainees access to complementary and emerging platform technologies and a larger community focused on human antigen discovery. Mentorship will be tailored to each fellow’s career goals and will include regular multidisciplinary guidance, support for manuscripts and fellowship applications, opportunities to mentor junior scientists, and preparation for an independent academic or translational research career.

How to Apply

Interested applicants should email Dr. Aaron Bodansky at [email protected] with the subject line: Bodansky Postdoctoral Fellowship Application Applications should include: • A curriculum vitae. • A brief cover letter describing prior research, scientific interests, and career goals. • Contact information for three references. • One to three representative publications or preprints. Applications will be reviewed on a rolling basis. Candidates with unconventional or interdisciplinary backgrounds are encouraged to apply.

Posted: 8.7.26

Posting Description

The Bodansky and DeRisi Laboratories at the University of California, San Francisco are jointly recruiting a highly motivated postdoctoral scholar to uncover the mechanisms of enigmatic, life-threatening pediatric diseases. The fellow will work at the intersection of human immunology, infectious disease, genomics, technology development, and computational biology, using deeply characterized clinical cases to drive fundamental and translational discovery. This position builds on a long-standing collaboration combining the Bodansky Lab’s bedside-to-bench program in pediatric immune dysregulation with the DeRisi Lab’s expertise in functional genomics, pathogen and antigen discovery, bioengineering, and computation. Together, the laboratories created the UCSF Child Health Advanced Molecular Phenotyping (CHAMP) program, an end-to-end framework for identifying highly informative patients, collecting longitudinal biospecimens, and rapidly deploying complementary experimental and computational approaches to determine disease mechanisms. The fellow will lead projects spanning pediatric autoimmune and paraneoplastic disease, ARDS, sepsis, postinfectious inflammatory syndromes, unexplained neurologic disease, and other forms of severe immune dysregulation. The goal is to identify causal immune responses and infectious triggers, distinguish pathogenic from protective immunity, and develop generalizable tools for solving diseases of unknown mechanism. Fellows will be encouraged to invent the experimental or computational approaches required by each problem rather than remain confined to a single platform. The fellow will take intellectual ownership of major projects, lead manuscripts, present at scientific meetings, mentor junior trainees, pursue independent funding, and develop a distinct research direction within the broader collaborative program. 

Position Qualifications 

Applicants should hold, or be nearing completion of, a PhD, MD, MD/PhD, or equivalent doctoral degree in immunology, molecular biology, microbiology, virology, genomics, computational biology, bioengineering, or a related field. Strong candidates will demonstrate: • Rigorous training and deep expertise in at least one relevant experimental or computational discipline. • Experience in areas such as B- or T-cell biology, antibody discovery, single-cell genomics, immune-repertoire analysis, functional immunology, host–pathogen biology, metagenomics, assay or technology development, bioengineering, or high-dimensional data analysis. • A record of scientific productivity, creativity, and growing intellectual independence. • Strong experimental reasoning and clear written and oral communication. • The ability to collaborate across clinical, experimental, engineering, and computational teams. • Enthusiasm for difficult biological problems in which the mechanism, antigen, pathogen, or optimal experimental system may initially be unknown. Applicants are not expected to have expertise in every technology used by the program. We are particularly interested in candidates with deep expertise in one area who want to expand into complementary approaches and learn how to carry a mechanistic investigation from clinical observation through experimental validation.

Research Environment

The fellow will be jointly embedded in the Bodansky and DeRisi Laboratories at UCSF Mission Bay and will interact closely with CHAMP’s clinical, experimental, and computational teams. The position offers the unusual opportunity to move continuously between the hospital, human biospecimen science, mechanistic immunology, platform development, and unbiased discovery. The DeRisi Lab brings a long record of building genome-scale and proteome-scale approaches to infectious and immune-mediated disease, discovering previously unrecognized pathogens, and developing broadly useful tools at the intersection of genomics, bioinformatics, biochemistry, and bioengineering. The Bodansky Lab contributes direct access to critically ill and diagnostically challenging pediatric patients, longitudinal clinical phenotyping, antigen-specific B- and T-cell immunology, and a translational framework for converting mechanistic discoveries into new diagnostic and therapeutic strategies. The collaboration is embedded within a broader UCSF community spanning UCSF Benioff Children’s Hospitals, the Departments of Pediatrics and Biochemistry and Biophysics, and programs in infectious disease, neurology, rheumatology, oncology, genetics, transplantation, immunology, and computational biology. Fellows will also benefit from close interactions with collaborators developing complementary technologies for human antigen discovery and immune-receptor analysis. Mentorship will be provided jointly by Drs. Aaron Bodansky and Joseph DeRisi and tailored to the fellow’s career goals. It will include regular project meetings with both laboratories, multidisciplinary guidance, support for manuscripts and fellowship applications, opportunities to mentor junior scientists, and preparation for an independent academic or translational research career. 

How to Apply

Interested applicants should email Drs. Aaron Bodansky and Joseph DeRisi at [email protected] and [email protected] with the subject line: Joint Bodansky–DeRisi Postdoctoral Fellowship Application. Applications should include: 

• A curriculum vitae
• A brief cover letter describing prior research, scientific interests, career goals, and why this collaborative environment is a strong fit.
• Contact information for three references.

• One to three representative publications or preprints. 

  Applications will be reviewed on a rolling basis. Candidates with unconventional, interdisciplinary, or technology-development backgrounds are strongly encouraged to apply. 
  
  Posted: 8.13.26

Position Description

The Stroud lab at UCSF Mission Bay campus seeks a highly motivated Postdoctoral fellow to join our efforts to understand molecular mechanisms of essential transporters, and cell wall synthesis in Mycobacteria, at the atomic #structure levels, with the vision of enabling treatments for #tuberculosis. Biochemistry and #CryoEM/CryoET experience preferred. Relevant recent publications include PMC10312659 , PMC11961569. Our lab is a leader in understanding proteins, membrane transporters and channels function at the molecular level, and the design of inhibitory compounds that are the basis of therapeutics that block, or augment protein function. The on-site electron microscopy capability is outstanding with two Krios microscopes each with G2 and G3, a new Krios/Selectris/Falcon, an Arctica and Glacios with K3 cameras, an Aquilos 2 cryoFIB-SEM and a Hydra cryoPFIB-SEM both equipped with iFLMs, and a Talos12. 

Position Qualifications 

Candidates should possess a PhD degree in structural biology and have strong Laboratory Skills, including experimental design, purification of proteins and membrane proteins, protocol optimization, and a track record of scientific publications or conference presentations.

Research Environment

Our lab has long been a leader in understanding how membrane transporters and channels function at the molecular level and in designing inhibitory compounds that underlie therapeutics that block or augment protein function. Current efforts seek to develop cures for tuberculosis by understanding. UCSF at Mission Bay provides a spectacular environment for cryoEM and cryoET structural biology and structural cell biology via the Stroud, Agard, Cheng, Fraiser, Jura, Minor, Southworth, and Verba structure groups and their numerous collaborators. Our expertly managed multi-user core facility houses two Krios microscopes, each with G2 and G3; a new Krios/Selectris/Falcon awaiting installation; an Arctica and a Glacios with K3 cameras; an Aquilos 2 cryoFIB-SEM and a Hydra cryoPFIB-SEM, both equipped with iFLMs; and a Talos12. 

How to Apply

Please send a cover letter, resume or CV, and the contact information for three references as a single file to: Robert Stroud [email protected]

_{Posted: 8.19.26}

Posting Description

A full-time Postdoctoral Scholar position is available for a highly motivated scientist interested in infection-associated chronic conditions (IACCs), including Post-Acute Sequelae of SARS-CoV-2 infection (PASC/Long COVID), HIV, and Post-Acute Sequelae of Ebola virus disease. The postdoctoral scholar will contribute to multidisciplinary research to understand the biological and clinical mechanisms underlying persistent symptoms and long-term health consequences following acute infections. The scholar will have opportunities to design and lead sub-studies, develop statistical analysis plans, conduct and interpret rigorous statistical analyses, and contribute to manuscripts and scientific presentations. Projects will leverage rich clinical, epidemiologic, and laboratory data to develop and apply innovative approaches to the design and analysis of IACC research. The overarching goal is to generate new insights into underlying disease pathogenesis, identify factors associated with disease development and persistence, and inform the development of strategies for the treatment and ultimately cure of infection-associated chronic conditions. The position is particularly well-suited for a scientist interested in working at the intersection of infectious diseases, epidemiology, biostatistics, and translational research, with opportunities to develop independent research questions and build a research program focused on IACCs. 

Position Qualifications

• PhD in a relevant field • Possess strong communication skills and a desire to engage in research in a diverse team of clinicians and scientists. • Knowledge of statistical software packages such as R or other statistical software and programming languages • Experience in statistical analysis approaches relevant to clinical or translational studies. • Demonstrated ability to independently drive research projects • First-author publication record preferred • Prior experience with machine learning or AI approaches is welcome but not required 

Research Environment

The postdoctoral scholar will be based in the Division of HIV, Infectious Diseases, and Global Medicine at UCSF. The Division is internationally recognized for excellence in clinical care, research, and education, with a longstanding commitment to advancing the understanding, prevention, and treatment of infectious diseases. The Division is based at Zuckerberg San Francisco General Hospital and Trauma Center (ZSFG), which has a distinguished history of leadership in HIV/AIDS care and research. The postdoctoral scholar will join a highly collaborative and multidisciplinary research environment that brings together clinicians, virologists, immunologists, pharmacologists, pharmacists, epidemiologists, biostatisticians, and other investigators. Working closely with Drs. Peluso, Kelly, and their research teams, the scholar will have opportunities to develop and lead clinical and translational research studies focused on infection-associated chronic conditions. The scholar will be supported in developing an independent scientific portfolio, including opportunities to lead analyses, develop manuscripts, publish findings in peer-reviewed journals, and present research at national and international scientific meetings. They will also be encouraged to take advantage of the broad range of seminars, methodological resources, collaborations, and professional development opportunities available through the Division, Department, and UCSF. Drs. Peluso and Kelly will serve as the primary mentors, providing structured scientific and career mentorship. The mentoring environment will emphasize developing research independence, methodological expertise, scientific communication, collaboration, and the skills necessary to advance the postdoctoral scholar's academic, professional, and long-term career goals. 

How to Apply

Please send CV, a cover letter (1–2 pages) describing your most important research contribution and how it might connect to our projects, and the names of three references (including recent mentors/supervisors) to: [email protected] and [email protected]

_{Posted: 8.30.26}

Posting Description

We seek a postdoctoral fellow to join a dynamic, interdisciplinary team at the intersection of relationship science, behavioral health, and artificial intelligence. Our lab develops and evaluates dyadic, couple-based approaches that harness relationships to improve health across a range of interconnected challenges, including alcohol use, HIV prevention and treatment, cardiometabolic health, and mental health, in both the U.S. and sub-Saharan Africa. As this program grows, we are incorporating human-centered Artificial Intelligence to augment the power of close relationships and human-delivered behavioral interventions. Rather than replacing human connection or clinical expertise, we envision AI as a companion or copilot within a human-in-the-loop model—helping individuals and couples translate intervention skills into their daily lives, supporting behavior change between sessions, personalizing intervention content, and extending the reach of trained providers. The fellow will have the opportunity to help shape this emerging research agenda and develop innovative approaches that bring together relationship science, behavioral intervention science, and responsible AI to address complex health problems.

This fellowship will be directed by Dr. Amy Conroy, an Associate Professor at UCSF in the Division of Prevention Sciences (DPS) and at the Center for AIDS Prevention Studies. Dr. Conroy is also the co-chair of the AI Behavioral Science Working Group within DPS. Dr. Conroy is the Principal Investigator of multiple ongoing research studies working with families and couples in the U.S. and sub-Saharan Africa. Studies include:

• The CHART study is a new study to develop and evaluate a couple's motivational interviewing intervention that uses biological/biosensor-based feedback on drinking levels to improve PREP outcomes among U.S. couples. A newly funded K24 award will develop an Artificial Intelligence co-pilot as part of CHART, to help couples achieve alcohol reduction goals using breathalyzer-based feedback. This study is a national U.S. study leveraging the MACS/WIHS combined clinical cohort (MWCCS) infrastructure and relationship research infrastructure at CUNY, led by Dr. Tyrel Starks. This study is funded as part of the CALIBER HIV/Alcohol center P60 grant at UCSF. 
• The Mlambe study is a randomized controlled trial of an economic and relationship-strengthening intervention to address unhealthy alcohol use and HIV outcomes in couples. This study, which takes place in Zomba, Malawi, is funded by an R01 grant from the National Institute of Alcohol Abuse and Alcoholism (NIAAA).
• The Mphatso study is a randomized controlled trial of couples Problem Management Plus (a WHO intervention) for pregnant women living with HIV and their male partners. This study takes place in Zomba, Malawi, and is funded by an R34 grant from the National Institute of Mental Health (NIMH). 
• The Healthy Hearts study is a mixed-methods observational cohort study with couples affected by HIV and cardiometabolic disorders (hypertension or diabetes) in Malawi to evaluate a model of dyadic multimorbidity management. This study is funded by an R01 grant from the National Heart, Lung, and Blood Institute (NHLBI).  

Candidates should have a keen interest in solving challenging problems by leveraging close interpersonal relationships and Artificial Intelligence to deliver human-centered interventions. We encourage applicants with a background in behavioral science, public health, health communication, social and health psychology, clinical psychology, epidemiology, demography, and international/global health. Candidates should also have a strong interest in preparing for an independent research career in academic medicine or public health.

The fellow will work independently but in close collaboration with Dr. Conroy, other research scientists, lab team members, and field staff in sub-Saharan Africa. There will also be opportunities to collaborate with other researchers at the UCSF CALIBER center for HIV and alcohol research, and with study co-investigators at UCSF, UC Davis, Washington University in St. Louis, Emory University, University of Michigan, City University of New York Hunter College, as well as institutions in Malawi and South Africa. The postdoctoral fellow will have access to data and resources for the above projects and related studies, and will assist with or lead the preparation and analysis of manuscripts as the lead author or co-author.  

Job Responsibilities

• Contributes to the generation of knowledge on Artificial Intelligence and the development of AI-enabled tools to support research activities and the delivery of behavioral interventions
• Perform qualitative and quantitative analyses of cross-sectional, dyadic, and longitudinal data
• Compiles, summarizes, and interprets data
• Participate in publications and presentations as the lead author or co-author.
• Prepare intramural and extramural grant proposals related to the fellow’s career and research goals to ultimately become an independently-funded research scientist
• Assist with the study implementation of research protocols and training of field staff at African sites
• Assist the team in conceptualizing and developing new grant applications that build on currently funded work
• Attend weekly post-doctoral seminars provided through the Traineeships in AIDS Prevention Studies (TAPS) program at CAPS/UCSF and regular team meetings
• Travel to field sites in Africa to foster connections with the research team, oversee progress, implementation planning, training of staff, and dissemination of findings. The initial appointment is for two years, with the possibility of extension depending on funding availability and progress towards the fellow’s independent funding. The fellow will be based at UCSF's Mission Bay campus and supervised by Dr. Conroy. Remote work arrangements can be negotiated.
   

Posting Qualifications

• Applicants must have obtained or will obtain their PhD/MD or related degree by the start date. Interviews will occur on a rolling basis. 
• Strong publication record and evidence of scientific writing skills
• Strong skills in statistical programming and analysis in Stata (preferred), SAS, SPSS, or R, including the ability to generate descriptive statistics, cross-sectional regression analysis using linear or logistic modeling. 
• Exposure to qualitative methods and analysis techniques
• Demonstrated cultural competence and community engagement skills
• 1-2 years of professional work experience (post-master's degree)
• Ability to work independently and solve problems independently
• Must be an American citizen, a non-citizen national of the U.S. (e.g., from American Samoa), or have been lawfully admitted to the U.S. for permanent residence and have an Alien Registration Receipt Card (I-151 or I-551).

Additional desired qualifications include experience with multilevel data analysis (e.g., longitudinal and dyadic data) skills, mediation and moderation analysis, and advanced machine learning and artificial intelligence models.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For more information, please see https://hr.ucsf.edu/my-hr/managers/postdoctoral-scholar-recruitment.
 

Research Environment / Training Context
Candidates should have a keen interest in solving challenging problems by leveraging close interpersonal relationships and Artificial Intelligence to deliver human-centered interventions. We encourage applicants with a background in behavioral science, public health, health communication, social and health psychology, clinical psychology, epidemiology, demography, and international/global health. Candidates should also have a strong interest in preparing for an independent research career in academic medicine or public health. The fellow will work independently but in close collaboration with Dr. Conroy, other research scientists, lab team members, and field staff in sub-Saharan Africa. There will also be opportunities to collaborate with other researchers at the UCSF CALIBER center for HIV and alcohol research, and with study co-investigators at UCSF, UC Davis, Washington University in St. Louis, Emory University, University of Michigan, City University of New York Hunter College, as well as institutions in Malawi and South Africa. The postdoctoral fellow will have access to data and resources for the above projects and related studies, and will assist with or lead the preparation and analysis of manuscripts as the lead author or co-author. 

How to Apply

Please submit the following materials to Dr. Amy Conroy at [email protected]

• Curriculum Vitae 
• A detailed Cover Letter, including a summary of relevant experience, research interests, and a statement of long-term career goals 
• Two writing samples
• Three letters of reference (upon request)
  Interviews will take place in September/October 2026 with an anticipated start in late 2026. 

_{Posted: 8.30.26}

Posting Description

Program Focus. This NIMH-funded postdoctoral program external site (opens in a new window) trains researchers to link basic psychological theories and research to preventing and ameliorating disease. There are two areas, and cross-cutting both areas is a consideration of racial/ethnic disparities in mental and physical illness and the mechanisms by which they occur. The two areas are: (1) Biobehavioral Mechanisms. (2) Innovative Interventions. There is an emphasis on life span approaches, specifically developmental processes, as a critical period. We emphasize common pathways to multiple disease outcomes, especially those spanning mental and physical illness. 

Posting Qualifications

The program is designed primarily for PhD and/or MD psychologists or psychiatrists who have a strong foundation in theory and methods and seek an opportunity to deepen and/or expand their research skills. In order to qualify for this federally funded grant, an applicant must be a U.S. citizen, a non-citizen national, or a foreign national possessing a visa permitting permanent residence in the U.S.; having a temporary or student visa is not acceptable under this grant. However, we would be happy to consider applications of non-citizens if applicants are able to find funding individually through their own government or other sources. Lucy Kho Fellowship Administrator, Health Psychology Postdoctoral Fellowship Program, University of California, San Francisco, 675 18th St., PB-5250, Box 0984, San Francisco, CA 94143. Email: [email protected] & [email protected]

Research Environment / Training Context

Fellows will be appointed for two years. In some instances, an optional third year may be possible. It is expected that about one-third of the fellow's time will be spent in formal seminars. All fellows take a core Biology and Affective Science and a Research Process Seminar in both years of the fellowship and may take other courses and seminars. The remaining two-thirds of the fellows’ time will be spent conducting research. Fellows will participate in their faculty mentor's research laboratory and will develop their own research study or work with a faculty mentor on secondary data analyses. Faculty: There are 19 faculty members in our program, including psychologists, psychiatrists, internists, pediatricians, sociologists, and biostatisticians. Fellows will be expected to work with a primary mentor from among the faculty.

How to Apply

Applicants should submit a current curriculum vitae, cover letter, and research statement describing (1) your educational and research background, (2) areas of interest, and (3) what you would like to accomplish in your postdoctoral training. Applicants should also list 3 faculty members willing to write letters of recommendation. Finalists will be asked to have the letters sent as PDFs to [email protected]. Submit your research statement, CV, and cover letter with contacts of three research supervisors/mentors here. external site (opens in a new window) Review process. We will choose finalists by the end of April, and conduct phone/Zoom interviews to inform final decisions and to determine appropriate faculty mentors. Decisions are made based on the applicant's strength, fit with the program, and the balance of interests among the fellows. Fellows must have completed their PhD or MD and have supporting documentation by the time of appointment, which must be in the Fall of 2026, but can be later than September if needed.

_{Posted: 9.1.26}

Posting Description

Seeking applicants for a 2-year postdoctoral fellowship in San Francisco, California. If you are interested in a high-impact project bridging academic theory and AI engineering to directly impact patient care, this position offers world-class mentorship from faculty members at UCSF, with joint mentorship from faculty in the UC Berkeley Electrical Engineering and Computer Science; abundant clinical datasets; support from a software engineer; and participation in a multidisciplinary research community in vibrant San Francisco. 

What You Will Do: 

• Design and optimize 3D transformer architectures for volumetric medical image segmentation and classification (MRI, CT, and multi-modal scans)
• Overcome computational bottlenecks of high-resolution 3D data via efficient attention mechanisms and hybrid CNN-transformer designs
• Translate cutting-edge machine learning theory into robust tools for clinical diagnostics and treatment planning
• Collaborate closely with computer scientists, radiologists, and clinical experts across the San Francisco Bay Area

Posting Qualifications

A Ph.D. in Computer Science, Electrical Engineering, Bioengineering, Applied Mathematics, or a closely related quantitative field • A strong publication record in computer vision, machine learning, or medical imaging venues (e.g., CVPR, ICCV, MICCAI, NeurIPS) • Proficiency in PyTorch, deep learning hardware acceleration, and 3D tensor manipulation • Interest in interdisciplinary research bridging advanced artificial intelligence and medicine

How to Apply

Please email CV, cover letter describing research background and interests, and contact information for 2-3 references to Pratik Mukherjee, MD, PhD [email protected], and Esther Yuh, MD, PhD [email protected] (UCSF Radiology) and Jitendra Malik, PhD (UC Berkeley EECS).

_{Posted: 9.2.26}

Posting Description

We are seeking a highly motivated postdoctoral fellow at the University of California San Francisco (UCSF) to join a research group led by Dr. Rachel Nosheny. The applicant will be involved in clinical aging and dementia research, utilizing data from the Brain Health Registry (BrainHealthRegistry.org) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI). The postdoctoral fellow will conduct clinical neuroscience research, with an emphasis on Alzheimer's disease, cognitive aging, and cognitive decline. Areas of particular interest are (1) Remote, digital assessment of cognition and everyday functioning; (2) Characterization of early clinical stages of AD, including subjective cognitive decline; and (3) Improving research participation of older adults in dementia research. The postdoctoral fellow will have the opportunity to be involved in many ongoing projects within the Brain Health Registry and ADNI. They will plan and execute data analyses, prepare manuscripts and abstracts, assist with grant writing, and present work at national and international meetings. Job Responsibilities: • Quantitative analysis of data including in-clinic and online self- and study partner-report questionnaires, neuropsychological tests, and biomarker data from longitudinal, observational studies • Work with Principal Investigator and Co-investigators to generate hypotheses, plan analyses, and interpret data • Develop innovative ways for assessment of cognitive aging • Seek out new funding opportunities and help to write grants and proposals • Write manuscripts and abstracts

Posting Qualifications

Required Qualifications: Doctorate degree or its equivalent in the field of neurology, neuroscience, psychology, psychiatry, biostatistics, or a related field • Research experience, preferably in clinical research • Data analysis experience • Biostatistics experience • Demonstrated success in independent research, including track record of published peer reviewed manuscripts • Ability to work collaboratively with other research group members and outside collaborators • Two-year commitment, with opportunity for extension Other Preferred Qualifications: • Interest/experience in dementia and aging clinical research • Experience with statistical computing and visualization software or program • Experience writing grants and other proposal

Research Environment / Training Context

The UCSF Brain Health Registry (BHR), led by Rachel Nosheny, PhD, is an internet-based platform for recruiting, assessing, and longitudinally monitoring participants in neuroscience studies, with over 100,000 registered participants. The BHR enables large-scale remote cognitive assessment and clinical trial recruitment for Alzheimer's disease, Parkinson's, and other brain disorders. This environment provides the postdoctoral fellow with direct access to world-class clinical collaborators, deeply phenotyped patient cohorts, large-scale participant registries, and cutting-edge computational infrastructure. The fellow will benefit from close mentoring from Dr. Nosheny, along with senior collaborators across neurology, psychiatry, and radiology, with opportunities to present at international conferences, lead publications, and develop an independent research profile.

How to Apply

Interested candidates, please send your CV and two references to: Rachel Nosheny, PhD. [email protected]

_{Posted: 9.9.26}

Posting Description

The University of California, San Francisco, is accepting applications to its NIDA-funded two-year postdoctoral research training program for trainee positions starting either in the summer or early fall of 2027. Our program is one of the few that trains scientists in treatment and services research. Scholars work with a preceptor to design and implement studies on the treatment of substance use disorders (SUD), including nicotine, cannabis, opioids, stimulants, alcohol, and other substances. Scholars also select a specific area of focus for independent research. Current research interests of faculty include trials of efficacy and effectiveness of psychosocial and pharmacologic SUD treatment, including: 1. Integration of SUD research in health care systems 2. Technology-based SUD screening and intervention research 3. Innovative SUD/HIV treatment, prevention, and services research 4. Emerging areas, including innovative therapeutics and delivery models

Posting Qualifications

Applicants must have completed their doctoral degree and be a U.S. citizen or have legal permanent resident (green card) status at the time of appointment.

Research Environment / Training Context

A variety of university-affiliated and community substance use treatment programs are available as research sites. These include inpatient and outpatient settings. Our training program encourages close research involvement with a preceptor and involvement in selected classes, seminars, and grant preparation.

How to Apply

Submit a cover letter, curriculum vitae, statement of research interests, representative work, and 2 letters of reference to: [email protected]. Letters of reference should be sent directly from the recommenders to Dr. Satre.
 
_{Posted: 9.9.26}