Postdoctoral Openings

Position Description
The Postdoc will engage in cutting-edge research at the intersection of molecular biology, hypoxia sensing and adaptation, and cardiovascular disease. The Baik Lab at UCSF/CVRI is interested in understanding mechanisms of chronic hypoxia-induced pulmonary hypertension and heart failure, mechanisms of cardio-toxicities with cancer-directed therapies, and dissecting the roles of the innate vs adaptive immune systems in pericarditis. The lab offers a unique interdisciplinary platform for investigating the interplay between hypoxia, cancer treatments and cardiac health. 

The postdoctoral candidate will use in vitro systems (stem cells, primary cells, immortalized cells), rodent models, and patient samples to address unanswered questions in hypoxia adaptation, cardiotoxicities from cancer therapies, and pericarditis. The postdoc candidate will utilize classic molecular biology and biochemistry tools, as well as multi-omics techniques such as spatial transcriptomics and single-cell RNA sequencing. It is expected that the postdoc will independently devise experiments, analyze complex datasets, apply and obtain extramural funding, disseminate findings through high-impact publications, and present preliminary data at leading scientific conferences. This position emphasizes comprehensive professional development, with opportunities to apply for independent research funding, participate in cross-disciplinary seminars, and gain experience in basic and translational medicine.

Position Responsibilities
Postdoctoral scholars shall not perform any clinical duties and shall not have any patient contact. Postdoctoral scholars are defined as -- A postdoctoral researcher is a person professionally conducting research after the completion of their doctoral studies (typically a PhD). The goal of a postdoctoral research position is to pursue additional research, training, or teaching to have better skills to pursue a career in academia, research, or any other fields. Postdocs often, but not always, have a temporary academic appointment, sometimes in preparation for an academic faculty position. They continue their studies and/or carry out research and further increase expertise in a specialist subject, including integrating a team and acquiring novel skills and research methods.

Postdoctoral research is often considered essential while advancing the scholarly mission of the host institution; it is expected to produce relevant publications in peer reviewed academic journals or conferences. Postdocs may not perform any clinical duties. The NIH definition of a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced training to enhance the professional skills and research independence needed to pursue his or her chosen career path. The definition emphasizes the importance of mentored training during the postdoctoral period.

How to Apply
To apply please email a Resume/CV to: [email protected]

_{Posted: 10.27.25, extended}

Position Description

We are recruiting highly motivated postdoctoral researchers to develop algorithms and analyses with multi-modal clinical data to guide personalized oncology care. Projects will be tailored to the individual's prior experience and interests but will center on the utilization of computational techniques to drive clinical prediction or discover new clinical insights using routine clinical data (including electronic health records, imaging, digital pathology, and genomic data). Computer vision and multi-modal machine learning are the current priority areas of the lab. The post-doctoral fellow will join a multidisciplinary team of clinicians and scientists in the Department of Radiation Oncology, the Bakar Computational Health Sciences Institute, and the Weill Cancer Hub, with many opportunities involving collaborative science with other investigators. The successful candidates will join a dynamic, collaborative lab and have the opportunity to craft independent research projects with direct mentorship toward future academic or industry careers.

Position Qualifications

• PhD (or equivalent) in computer science, biomedical informatics, or related field and/or MD with a strong demonstrated experience in a computational science-related field
• Demonstrated expertise in one or more of the following: foundation models, computer vision, large language models, machine learning
• Excellent written and oral communication skills; strong record of productivity and teamwork
• Strong problem-solving skills, creative thinking, and programming ability

Research Environment / Training Context

The Hong lab is part of the Department of Radiation Oncology, the Bakar Computational Health Sciences Institute, the UCSF-UC Berkeley Joint Program in Computational Precision Health, and the Weill Cancer Hub West. Postdoctoral researchers will join a multidisciplinary team of clinicians and scientists across these organizations. They will be encouraged to take advantage of other training and learning opportunities within the UCSF Helen Diller Family Comprehensive Cancer Center, the Bakar Computational Health Sciences Institute, and other related entities at UCSF. The lab offers opportunities for grant writing, conference travel, and opportunities to mentor graduate and undergraduate trainees.

How To Apply

Please send a single PDF including: 

• Cover letter
• Current CV
• Contract information for three references 

Email your application to Dr. Julian Hong at [email protected] with subject line “Postdoc Application – Hong Lab”.

_{Posted: 12.16.25, extended} 

Position Description

The laboratory of Dr. Fatemeh (Flora) Momen-Heravi at the University of California, San Francisco (UCSF) is excited to recruit a highly motivated postdoctoral researcher to join an NIH-funded research program investigating the cellular and molecular mechanisms that link periodontal disease with type 2 diabetes. This position offers a unique opportunity to work at the intersection of oral immunology, host–pathogen interactions, and systemic metabolic disease within a highly collaborative and interdisciplinary research environment at UCSF. The project investigates host–pathogen interactions, immune dysregulation, and metabolic stress at the oral–systemic interface, with a strong emphasis on single-cell RNA sequencing (scRNA-seq) to define cell-type–specific immune and stromal responses in periodontal and systemic tissues. Approaches include host–microbe interaction models, primary immune cell assays, flow cytometry, protein and cytokine analyses, bulk and single-cell RNA sequencing, CRISPR/RNAi, bioinformatics, and mouse models of periodontal disease and diabetes.

Position Qualifications

• Ph.D. in immunology, microbiology, molecular biology, periodontology, metabolism, or a related field.
• Experience or strong interest in single-cell genomics is highly desirable.

Research Environment / Training Context

The laboratory provides strong, individualized mentorship with an emphasis on scientific independence, grant and manuscript writing, and interdisciplinary training in immunology, metabolism, and oral biology.

How To Apply

Interested candidates should contact Dr. Fatemeh (Flora) Momen-Heravi directly at [email protected]

_{Posted: 12.30.25}

Position Description

Abortion Care Training Incubator for Outstanding Nurse Scholars (ACTIONS) is currently seeking a postdoctoral fellow whose research focuses on abortion and/or contraception in the United States healthcare context and who aim to become reproductive health leaders who can transform abortion, contraception and sexual and reproductive health educational programs for future nurses, midwives and other healthcare professionals; generate new research and policy on nursing, midwifery, and reproductive health workforce issues; and advance interdisciplinary curricula on reproductive justice. We seek clinical researchers or social scientists with a doctoral degree in nursing (e.g., PhD, DNP) or a PhD, ScD, or DrPH in social or biomedical sciences. Applicants with nursing and/or midwifery credentials will be prioritized.

The postdoctoral fellow will work closely with ACTIONS faculty directors and staff to participate in ongoing reproductive health research, education and mentoring. The postdoctoral fellow will concurrently pursue their own abortion- and/or contraception-focused research and training with the goal of advancing to a faculty or other academic or clinical leadership position at the end of the fellowship. Ideal candidates will have a strong interest in pursuing a career in academic research and education to expand nursing and midwifery’s role, reach, and impact in abortion and contraceptive healthcare. The position can be remote.

Position Qualifications

• DNP or PhD in nursing, or PhD, ScD or DrPH in social or biomedical science. Nursing or midwifery credentials preferred.
• U.S. citizenship, non-citizen national status, or permanent residency
• Demonstrated interest in advancing nursing/midwifery’s role in abortion and contraception healthcare in the US context
• Doctoral-level training in quantitative or qualitative research or evaluation methods; Curricular and/or clinical training experience in abortion, contraception or sexual and reproductive health preferred.
• Experience with scientific writing and manuscript preparation
• Strong oral and written communication skills and organizational skills
• Ability to work both independently and as part of a team
• Ability to set priorities, meet deadlines and manage multiple tasks simultaneously

Research Environment / Training Context

ACTIONS is an innovative fellowship that provides a unique opportunity to train the next generation of thought leaders and change agents in nursing leadership and faculty positions across the United States. ACTIONS scholars are enthusiastic and passionate about transformational change toward reproductive health and justice. ACTIONS connects, mentors, and supports scholars pursuing pre- and postdoctoral studies at University of California San Francisco (UCSF). The program provides funding for pre- and post-doctoral scholars to design studies that prioritize reproductive justice as the primary approach to reproductive health services provision, including abortion, birth, contraception, healthy sexuality, parenting, and pleasure. Core components of the fellowship are designed to meet the needs of each scholar and foster a collaborative learning environment that is supported through mentorship. 

The program offers the following: 

• Research and career guidance from UCSF faculty
• Leadership opportunities and network building through ACTIONS-sponsored events
• Professional development
• Support in applying for research grants
• Stipend and educational support funds

How To Apply

Submit application materials as a single PDF via email to [email protected]. Applications received by March 1, 2026 will receive priority review. This position is open until filled. 

Application Materials: 

1. Curriculum Vitae
2. Cover letter
3. Research statement (two pages maximum) including the following elements: a. Specific area of research you would like to pursue during the postdoctoral fellowship, b. Summary of prior research or evaluation experience, including a description of dissertation research.
4. Personal statement (one page maximum) including the following elements: a. Interest and/or prior work in abortion and contraception research and training, b. Goals for your postdoctoral study – both what you would like to accomplish and what you would like to gain from it (including training and professional development goals).
5. A recent writing sample (such as a dissertation chapter, peer reviewed publication, or report)

_{Posted: 1.20.26}

Position Description

The Calabrese Lab within the UCSF Lung Transplant Research group has an opening for a postdoctoral fellow interested in immunology and airway biology. The mismatch of host and recipient genetics following lung transplant creates a unique opportunity to address compelling questions with immediate, translatable, clinical impact. Our group studies NK cell immunology, epithelial cell biology and other biologic mechanisms of lung injury, in addition to projects related to Cystic Fibrosis and Acute Respiratory Distress Syndrome. 

Position Qualifications

• MD or PhD in immunology or life sciences, or equivalent experience.
• Experience with cell culture, molecular biology, and flow cytometry
• Bioinformatics knowledge: Experience or willingness to learn R.
• Excellent communications skills: able to work with collaborating research and clinical teams.
• Willing to work with mouse models and human clinical samples.
• Detail oriented, organized, and independent.

Research Environment / Training Context

This position will offer opportunities to master cutting-edge immunology, genomics, single cell RNAseq, and metagenomic methods and develop an independent research focus.

How To Apply

Interested candidates should send an email to [email protected] with the following:

• CV
• Cover letter, please indicate your preferred start date.

_{Posted: 1.27.26}

Position Description

The Xu Lab at the University of California, San Francisco is seeking one postdoctoral researcher to join their team researching CNS neural circuits, neuronal and glial functions, modulation of blood-brain barrier, homeostatic and hedonic regulation of food intake and body weight, and mechanism of action for anti-obesity drugs. The postdoctoral scholar will carry on independent research project to study CNS neuronal circuits and regulation of feeding behavior and body weight. The project will use a combination of mouse genetics, neuroendocrine and molecular biology approaches.

Position Qualifications

The postdoc applicant must have a recent Ph.D. degree, and should demonstrate a passion for science, innovative thinking and the ability to work independently and efficiently. Excellent communication skills, strong backgrounds on mouse genetics and neuroscience are required. Hands-on experience with rodent models is a must.

Research Environment / Training Context

Opportunities for training and professional development include:

1. In-depth theoretical knowledge on CNS neural circuits, neuronal and glial functions, modulation of blood-brain barrier, homeostatic and hedonic regulation of food intake and body weight, and mechanism of action for anti-obesity drugs.
2. Hands-on training on laboratory techniques that are used to study the above neurological and metabolic functions in laboratory mice.
3. Development and utilization of image analysis software.
4. Team-building and working in a collaborative environment.
5. Opportunity to provide mentorship and obtain teaching experience by training junior scientists.
6. Effective scientific communication via oral presentations in group meetings and international conferences.
7. Science writing, grant and manuscript preparation.

How To Apply

Please send a cover letter, curriculum vitae, a brief description of PhD project and contact information of three references to Allison Xu [email protected].

_{Posted: 1.27.26}

Position Description

The postdoctoral fellow will engage in cutting-edge research at the intersection of cardiovascular genetics, deep learning, and epidemiology. The Pirruccello Lab at UCSF/CVRI is interested in understanding the drivers of normal variation in aortic valve hemodynamics. The postdoctoral fellow will use computer vision and deep learning tools to generate and refine cardiac and aortic valve phenotypes to apply at biobank scale (~100,000 imaging studies from UK Biobank and thousands of clinically indicated imaging studies from UCSF); to investigate genetic and epidemiological relationships with these phenotypes; and translate discoveries into ECG-based, proteomic-, and classical statistical models. The postdoctoral fellow will utilize common- and rare-variant statistical genetics, deep learning, and classical statistics. It is expected that the postdoctoral fellow will independently devise experiments, analyze complex datasets, apply for and obtain extramural funding, disseminate findings through high-impact publications, and present preliminary data at local conferences and national/international scientific meetings. This position emphasizes comprehensive professional development, with opportunities to apply for independent research funding, participate in cross-disciplinary seminars, and gain experience in deep learning and genetics.

Position Qualifications

Postdoctoral scholars are defined as "a person professionally conducting research after the completion of their doctoral studies" (typically a PhD). The goal of a postdoctoral research position is to pursue additional research, training, or teaching to have better skills to pursue a career in academia, research, or any other fields. Postdocs often, but not always, have a temporary academic appointment, sometimes in preparation for an academic faculty position. They continue their studies and/or carry out research and further increase expertise in a specialist subject, including integrating a team and acquiring novel skills and research methods. Postdoctoral research is often considered essential while advancing the scholarly mission of the host institution; it is expected to produce relevant publications in peer reviewed academic journals or conferences. Postdocs may not perform any clinical duties. The NIH definition of a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced training to enhance the professional skills and research independence needed to pursue his or her chosen career path. 

Research Environment / Training Context

Postdoctoral scholars shall not perform any clinical duties and shall not have any patient contact. The postdoctoral fellow will engage in cutting-edge research at the intersection of cardiovascular genetics, deep learning, and epidemiology. The Pirruccello Lab at UCSF/CVRI is interested in understanding the drivers of normal variation in aortic valve hemodynamics. This position emphasizes comprehensive professional development, with opportunities to apply for independent research funding, participate in cross-disciplinary seminars, and gain experience in deep learning and genetics.

How To Apply

Please submit your CV and any supplementary application materials via email addressed to James Pirruccello, MD. Email: [email protected]

_{Posted: 2.14.26}

Position Description

Our laboratory investigates how organisms survive extreme stress by entering reversible low-metabolic states that preserve tissue integrity and delay functional decline. Leveraging insights from stress-resilient model systems, we seek to define the core molecular programs that enable durable protection with full functional recovery upon reactivation. Beyond elucidating the fundamental biology of dormancy, hibernation, and suspended animation, our goal is explicitly translational: to engineer protective, anti-aging dormancy–like states in mammalian systems. Using genetic, chemical biology, and physiological approaches, we aim to identify actionable reprogramming factors and druggable small-molecule combinations. This work has direct relevance to aging intervention, ischemia–reperfusion injury, organ preservation, emergency and critical care, and long-duration spaceflight. We welcome highly motivated postdoctoral fellows interested in translating resilience biology into therapeutic strategies.

Position Qualifications

Applicants should hold a Ph.D., M.D., or equivalent in molecular biology, genetics, biochemistry, physiology, or a related field, with a strong record of research and scientific independence. Candidates should have expertise in molecular/cellular biology, metabolism, stress physiology, or genetic model systems (e.g., C. elegans, mouse, or mammalian cells), and experience with techniques such as CRISPR, omics, metabolic assays, imaging, or small-molecule screening is highly desirable. Computational and bioinformatic skills are a plus. We seek highly motivated, curious individuals capable of independent research within a collaborative environment, with strong communication skills and an interest in translating fundamental resilience biology into therapeutic applications.

Research Environment / Training Context

The lab is part of a collaborative, interdisciplinary research program at UCSF, embedded within the Cardiovascular Research Institute and the Department of Physiology. Trainees benefit from access to state-of-the-art core facilities, mentorship from experienced faculty, and opportunities to collaborate across molecular biology, metabolism, neuroscience, and translational research. The environment supports professional development through journal clubs, seminars, workshops, and guidance for career advancement in academia, industry, and translational science.

How To Apply

If interested, please email your CV and the contact information for 2–3 references to the PI, Dr. Dengke Ma, at [email protected]

_{Posted: 2.16.26}

Position Description

The Bove Lab is seeking a Post-Doctoral Scholar who will work within a multidisciplinary team that includes expertise in neurological disease, signal processing, computer vision, software development and real-world digital health applications. The primary project will be to analyze remotely acquired patient videos to derive comprehensive metrics of neurological function. This project is embedded in a larger effort to leverage multimodal data streams (instrumented walkways, wearables, fitness trackers) and electronic health records to generate a comprehensive digital neurological examination. The postdoctoral scholar will disseminate their findings through first-author research papers, conference presentations, and public/community engagement. The postdoctoral scholar will also receive mentorship in activities such as writing their own K99/R00 grants, running their own research lab, and transitioning into research independence. The initial appointment will be for 1-2 years, with an opportunity for extension pending performance and availability of funds.

Position Qualifications

Required Qualifications: 

• Currently has or is in the process of obtaining a PhD in Information Science, Biomedical Data Science, Health Informatics, Computational Precision Health, Health Data Science, Computer Science, or a related area.
• First-authored publications at leading journals and/or conferences.
• Experience working with or clear ability to transfer existing skills to work with data from videos, wearables, mobile devices, or other high-dimensional data collected from devices or multimedia streams.
• A strong data science mindset
• Expertise in Python deep learning frameworks (TensorFlow, PyTorch, etc)
• Proficiency in computer vision libraries (OpenCV, MediaPipe, etc)
• Proficiency in audio processing libraries (libroasa, etc)
• Effective communication and interpersonal skills.
• Ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
• Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
• Demonstrated broad problem-solving skills.

Preferred Qualifications: 

• Software development experience (either mobile or web is fine, with the ability to pick up new frameworks).
• Experience with Amazon Web Services (AWS).
• Ability to engineer full-stack systems, picking up new APIs and other tools as needed for the job.
• Experience writing IRB protocols.
• Qualitative data analysis experience.

Research Environment / Training Context

The Bove Lab is part of the Department of Neurology at UCSF, embedded within a top-tier biomedical clinical research environment. Postdoctoral fellows will benefit from frequent interactions with complementary labs at UCSF, participation in the university’s postdoctoral professional development & mentorship programs, and mentorship from the PI in activities such as writing their own K99/R00 grants, running their own research lab, and transitioning into research independence. The lab provides an inclusive and supportive ecosystem, encourages conference travel, and provides opportunities to mentor graduate and undergraduate trainees.

How To Apply

Please email a current CV and a cover letter describing your qualifications for the position to: Riley Bove at [email protected]

_{Posted: 2.19.26}

Position Description
The Melanoma Discovery Lab at the University of California, San Francisco (UCSF) is seeking a highly motivated postdoctoral fellow (MD or PhD) to study systemic immune responses to gene fusion-driven cancers. This project explores how potent oncogenic fusions can initiate neoplastic growth while simultaneously triggering immune surveillance, with Spitz tumors serving as a model. The broader aim is to understand how similar transient, immune-contained lesions may arise in other tissues and be eliminated before clinical detection. The fellow will join a collaborative effort between cancer geneticists/melanoma biologists and genetic immunologists, combining genomic and immunologic approaches to study the systemic response to fusion-driven neoplasms.

Position Qualifications

• MD or PhD in cancer biology, immunology, genetics, or related fields
• Strong research background and publication record
• Experience with molecular, genomic, or immunologic methods preferred
• Intellectual curiosity about tumor–immune system interactions

Position Responsibilities
The position is in the group of Drs. Boris Bastian and Iwei Yeh at UCSF’s Helen Diller Family Comprehensive Cancer Center, leaders in melanoma genetics and translational research. The lab offers a stimulating, collaborative environment with access to cutting-edge technologies and interdisciplinary expertise.

How to Apply
Send a CV, brief statement of research interests, and contact information for three references to [email protected]

_{Posted: 2.25.26}

Position Description
The Guna lab at the University of California, San Francisco https://www.gunalab.org/ is looking for postdoctoral scholars to lead projects focused on how membrane proteins get made in human cells. The lab is specifically focused on two sites of membrane protein biogenesis: the endoplasmic reticulum, and the mitochondria. We use a combination of high-throughput genomic techniques, cell biology, and biochemistry to understand how the biophysically complex human membrane proteome is manufactured and regulated across cell types. Candidates should have a creative and rigorous approach to scientific research and should be open to tackling new projects in a collaborative environment. Applications will be reviewed on a rolling basis.

Position Qualifications

• PhD (or equivalent) in Cell Biology, Molecular Biology, Biochemistry or Genetics.
• Demonstrated expertise in one or more of the following: mammalian tissue culture, genome-wide CRISPR screening, flow cytometry, protein purification, in vitro biochemistry.
• Ability to work in a fast-paced, team environment.
• Candidates with an interest in mitochondrial biology are strongly encouraged to apply.

Research Environment
The Guna lab is a part of the Department of Biochemistry and Biophysics at UCSF. Postdoctoral fellows will receive training in an inclusive environment and be encouraged to develop their professional skills including grant writing, conference travel, and opportunities to mentor graduate and undergraduate trainees.

How to Apply
Please send the following to [email protected] in a single document: 

1. Cover letter detailing your research interests, experience, and motivation for applying to the lab.
2. Curriculum vitae.
3. Contact information for three references.
   
   _{Posted: 3.6.26}

Position Description
We are seeking a highly motivated Postdoctoral Scholar to join a multidisciplinary research program at the University of California, San Francisco (UCSF) focused on cardiac physiology and pathology, with an emphasis on cardiac rhythm disorders including sinus node dysfunction, atrial fibrillation (AF), and ventricular tachyarrhythmias (VT). Our lab integrates genetics, quantitative electrophysiology, and mechanistic studies of cardiac remodeling across development and aging to define disease mechanisms and identify new therapeutic strategies.

Position Qualifications

Required qualifications: We are looking for candidates with strong experimental rigor and a track record of productivity. Ideal applicants will have: 

• PhD (or equivalent) in physiology, molecular/cell biology, genetics, pharmacology, or related fields.
• Strong molecular biology background, including design and assembly of DNA constructs (e.g., cloning, viral vectors, plasmid engineering).
• Cell culture experience, including transfection/transduction and optimization of expression systems.
• Hands-on experience with one or more of the following is a plus:
  • Cardiomyocyte biology (primary cardiomyocytes and/or hiPSC-derived cardiomyocytes)
  • Calcium handling / excitation–contraction coupling assays (e.g., indicators, imaging, analysis)
  • Cardiac electrophysiology methods (patch clamp, MEA, optical mapping, ECG/telemetry, pacing)
  • Mouse models and cardiac phenotyping (echo, Langendorff, tissue processing).
  • Genome manipulation (e.g., CRISPR/Cas9, gene knockouts/knock-ins, siRNA/shRNA, AAV/lentiviral delivery).

Research Environment
The successful candidate will join an interactive team within the UCSF Cardiology Division and the Cardiovascular Research Institute (CVRI). Projects may involve combinations of: 

• Molecular and cell biology approaches to define pathways governing rhythm stability and remodeling.
• Genetic and genome-engineering strategies (e.g., CRISPR-based editing, knockouts/knock-ins) in mammalian cells and/or model systems.
• Electrophysiology and calcium signaling assays (cellular and tissue-level) relevant to arrhythmia triggers and substrates.
• Studies spanning developmental biology, aging biology, and disease progression.
• Opportunities for training in and collaboration on advanced imaging and quantitative analysis pipelines used to interrogate conduction, automaticity, and arrhythmogenesis. 

What we offer: 

• A mechanistically driven, collaborative environment with access to state-of-the-art UCSF resources
• Strong mentorship toward first-author publications, fellowship applications, and career development
• Opportunities to lead projects that connect molecular mechanisms to physiologic arrhythmia phenotypes across scales

How to Apply
Please email a single PDF to [email protected] including: 

1. CV
2. Cover letter describing research interests and fit
3. Contact information for 2–3 references
   
   _{Posted: 3.6.26}

Position Description

The gut and the lung talk to each other. In acute respiratory distress syndrome (ARDS), that conversation goes wrong — and we want to understand why. Our laboratory at UCSF studies how gut-derived bacterial metabolites, including L-lactate produced by Bifidobacterium adolescentis, regulate lung epithelial mitochondrial function during critical illness. We use gnotobiotic mouse models, metabolomics, and single-cell RNA sequencing to build a mechanistic picture of how the microbiome shapes lung injury and repair. We are seeking a postdoctoral Scholar to join us at the ground floor of this work. The ideal candidate has in vivo animal experience and intellectual curiosity about omics-based approaches. Willingness to work across disciplines — including cell culture and microbiology techniques such as bacterial culture and transformation — is important. Above all, we are looking for someone with a great attitude, a genuine love of hard problems, and the work ethic to see them through.

Position Qualifications

• PhD or PhD/MD

Research Environment

What we offer: Mentorship focused on your growth as an independent scientist, a collaborative environment at one of the world's leading research institutions, and competitive salary per NIH guidelines.

How to Apply

Send a single PDF containing a cover letter describing your research experience and interest in the position, your CV, and contact information for three references to [email protected]. Applications will be reviewed on a rolling basis.

_{Posted: 3.11.26}

Position Description
The Lane-Donovan Laboratory at the University of California, San Francisco (UCSF) seeks postdoctoral fellows to investigate the cellular and molecular mechanisms underlying early disease pathogenesis and selective vulnerability in neurodegenerative diseases of aging, such as Alzheimer’s disease, frontotemporal dementia, and Parkinson’s disease. The lab has a particular focus on endolysosomal dysfunction. There are a variety of projects in the lab that utilize cellular, molecular, and bioinformatic approaches in mice and iPSC-derived CNS cells. We are moving into single-cell RNA sequencing and in vivo CRISPRi screening. Dedicated, enthusiastic, and tenacious teamwork required. Clear communication, prior publications and experience writing scientific papers required. The postdoctoral scholar will be expected to disseminate their findings through first-author research papers and conference presentations. The initial appointment will be for 1-2 years, with an opportunity for extension pending performance and availability of funds.

Position Qualifications

• Currently has or in the process of completing a PhD in Neuroscience or related Biomedical Science
• Strong scientific communication skills in writing and presentation
• Previous publication record
• Experience in neuroscience research either in mouse models or tissue culture

Research Environment
The Lane-Donovan Lab is part of the Edward and Pearl Fein Memory and Aging Center within the Department of Neurology at UCSF. Postdoctoral fellows will benefit from frequent interactions with complementary labs at UCSF, participation in the university’s postdoctoral professional development & mentorship programs, and mentorship from the PI in activities such as writing their own K99/R00 grants and transitioning into research independence. The lab provides an inclusive and supportive ecosystem, encourages conference travel, and provides opportunities to mentor graduate and undergraduate trainees.

How to Apply
Email CV, personal statement including specific qualifications and interest in position, and contact information for three references to [email protected]

_{Posted: 3.15.26}

Position Description

ANSIRH seeks up to two highly motivated full-time postdoctoral fellows with strong quantitative research skills to work on the NIH- and privately-funded research project, "Health and economic consequences of changing federal and state policies on reproductive health," a longitudinal study of abortion access and pregnancy complication care in states with abortion bans. Fellows will be appointed to work on projects led by Principal Investigator Dr. Diana Greene Foster. Specifically, fellows will have the opportunity to work closely with Dr. Foster on analyses of longitudinal data on socio-demographic and economic factors, reproductive health, and fertility. Key responsibilities will include developing data analysis plans, cleaning, coding, and analyzing data, drafting presentations and papers, and contributing to abstracts, scientific reports, and journal articles. Additionally, 20% of this fellowship will be allotted to independent research, which includes time to attend seminars and conferences, submit grants, and/or develop research projects. Dr. Foster will provide strategic guidance on skill and career development and support the fellows to further develop new areas of research. Fellows will be expected to engage in advanced research and to fully participate in the research life of ANSIRH. ANSIRH provides postdoctoral fellows with access to a wide variety of enrichment opportunities, including seminars, professional development (e.g., grant writing), and support for participating in conferences.

Position Qualifications

We seek one to two social science researchers who have an interest in pursuing a career in academic research or with a research organization. We will consider all candidates with a range of disciplines and backgrounds whose work fits within ANSIRH’s mission and vision. Successful candidates will possess the following qualifications: 

Required Qualifications 

• Doctoral degree (e.g., DrPH, PhD) in epidemiology, public health, demography, or other quantitative social science
• Publication track record in reproductive health
• Expertise in data analysis and data visualization
• Demonstrated command of statistical software, preferably Stata
• Strong data management skills and experience Familiarity with electronic data capture systems, such as Qualtrics and REDCap
• Ability to communicate technical information to technical and non-technical audiences
• Understanding of the broad abortion policies and abortion provision landscape in the United States
• Ability to juggle competing demands and meet deadlines without sacrificing quality
• Effective communication and interpersonal skills
• Self-motivated and works independently and as part of a team

Research Environment

Advancing New Standards in Reproductive Health Advancing New Standards in Reproductive Health (ANSIRH) is a collaborative research group at the University of California, San Francisco (UCSF) and a program of the Bixby Center for Global Reproductive Health. ANSIRH conducts innovative, rigorous, multidisciplinary research on complex issues related to people’s sexual and reproductive lives and envisions a world in which all people have the resources, support, and freedom to achieve reproductive well-being. That is why we strive to invest in the overall well-being of our employees. Visit www.ansirh.org for more about our vision and mission. ANSIRH is committed to creating and expanding opportunity and justice, fostering a welcoming and supportive work environment, and engaging diverse ideas for scientific discovery. Location The position is based in downtown Oakland, CA. ANSIRH practice is to work in the office at least two days per week. Department of Obstetrics, Gynecology & Reproductive Sciences The Department of Obstetrics, Gynecology and Reproductive Sciences (Ob/Gyn & RS) is a major academic department in the School of Medicine, engaged in clinical, research, and training activities at the Parnassus, Mt. Zion and Zuckerberg San Francisco General Hospital (ZSFG) campuses, as well as satellite locations throughout the Bay Area, with an annual operating budget of $77.2 million and the new Betty Irene Moore Women’s Hospital at Mission Bay. The Department has 102 full-time faculty, 136 other academic appointees, 39 post-doctoral fellows, 20 clinical fellows, 36 residents, 136 voluntary clinical faculty, and 266 staff. University of California, San Francisco The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. 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.

How to Apply

Submit Applications as a single PDF via email to Heather Gould at [email protected] 

Cover letter should be addressed to Dr. Diana Greene Foster. Applications will be reviewed on a rolling basis, beginning in March 2026. Materials received by May 1, 2026, will receive full consideration. These positions are open until filled. 

Application Materials: 

1. Cover letter (one page)
2. Curriculum Vitae
3. Research statement (three pages) including the following elements:
   1. Specific area of research you would like to pursue during the postdoctoral fellowship
   2. Research experience
   3. Long-term career goals
   4. Goals for your postdoctoral study – both what you would like to accomplish and what you would like to gain from it
   5. Names and email addresses for two references 

In addition, leading candidates will be invited to present their research and areas of interest to select ANSIRH faculty via Zoom as part of the application process.

_{Posted: 3.18.26}

Position Description

The postdoctoral scholar will carry on independent research project to study CNS neuronal circuits and regulation of feeding behavior and body weight. The project will use a combination of mouse genetics, neuroendocrine and molecular biology approaches.

Position Qualifications

The postdoc applicant must have a recent Ph.D. degree, and should demonstrate a passion for science, innovative thinking and the ability to work independently and efficiently. Excellent communication skills, strong backgrounds on mouse genetics and neuroscience are required. Hands-on experience with rodent models is a must.

Research Environment
Opportunities for training and professional development include: 

1. In-depth theoretical knowledge on CNS neural circuits, neuronal and glial functions, modulation of blood-brain barrier, homeostatic and hedonic regulation of food intake and body weight, and mechanism of action for anti-obesity drugs.
2. Hands-on training on laboratory techniques that are used to study the above neurological and metabolic functions in laboratory mice.
3. Development and utilization of image analysis software.
4. Team-building and working in a collaborative environment.
5. Opportunity to provide mentorship and obtain teaching experience by training junior scientists.
6. Effective scientific communication via oral presentations in group meetings and international conferences.
7. Science writing, grant and manuscript preparation.

How to Apply
Please send a cover letter, curriculum vitae, a brief description of PhD project and contact information of three references to Allison Xu [email protected]

_{Posted: 3.18.26}

Position Description

A postdoctoral scholar position is available in the Rosenbluth and Basu labs at the University of California, San Francisco, for a highly motivated scientist interested in performing research at the intersection of organotypic tumor assays and computational modeling of associated multiomic data. The goal of our research is to develop therapeutic strategies for breast cancer, including preventing cancer from developing in high-risk individuals and utilizing new technologies to identify targets in tumors that arise in those individuals. By growing normal and malignant breast tissues in 3D culture systems that incorporate the tissue microenvironment, we aim to identify and intercept the cells that form breast cancers at the earliest stages of development. These experimental systems are paired with multiomic and spatial profiling approaches, enabling integrated analysis of organoid models with high-dimensional molecular and clinical datasets. By linking cellular profiling to large clinical datasets and functional validation, we can develop therapeutic strategies that are personalized to specific patient populations.

Position Qualifications

• PhD, MD, or MD/PhD in a relevant field
• Strong proficiency in molecular and cellular biology techniques
• Experience with organoid or stem cell–based culture systems and/or analysis of large-scale omics or imaging datasets
• 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 Candidates may come from complementary backgrounds. 

Applicants with strong experience in organoid or stem cell–based culture systems and experimental biology are encouraged to apply, as are applicants with strong backgrounds in machine learning, computational biology, or quantitative analysis of imaging or multiomic datasets who are interested in working closely with biological systems. Experience bridging experimental and computational approaches is particularly valued.

Research Environment
The position offers opportunities to develop machine learning approaches for analyzing high-dimensional organoid datasets and imaging-based datasets. The postdoctoral fellow will be co-mentored by Dr. Jennifer Rosenbluth and Dr. Amrita Basu. Working with Dr. Rosenbluth, the fellow will develop organoid and advanced organoid models from a biobank of clinically annotated tissues and perform multi-omic analyses of breast epithelial and microenvironmental cells, including studies of breast cancer risk. In collaboration with Dr. Basu, the fellow will develop or apply machine learning approaches and other cutting-edge computational methods using artificial intelligence for analysis of high-dimensional imaging and clinical datasets. Computational projects may also bridge areas such as patient-reported outcomes, treatment toxicities, and real-world adverse events. Our group is highly integrated with clinical trials and translational research efforts within the UCSF Breast Oncology Program. The fellow will have opportunities to work with clinically annotated patient datasets and functional experimental models to develop new approaches for cancer prevention and treatment.

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

_{Posted: 3.18.26}

Position Description

The Ashouri Lab is seeking a postdoctoral research fellow to work on mouse models and immunology projects in autoimmunity. The Ashouri Lab studies how immune tolerance is broken in autoimmune diseases and focuses on defining T cell signaling and repertoire thresholds required for immune tolerance. We have funding for this position from both the NIH (NIAMS/ R01) and the Nora Eccles Treadwell Foundation to focus on the following projects: 1) Investigate how viruses that integrated into the human genome in ancient times (known as endogenous retroviruses, ERVs) contribute to the onset and progression of autoimmune disease by disrupting immune tolerance; and 2) Determine how TCR signaling strength shapes thymic and peripheral tolerance thresholds in order to identify key features that could serve as therapeutic targets. The fellow will work on these two collaborative projects to define how ERVs and TCR signaling thresholds affect CD4 T cell fate, tolerance mechanisms, and their capacity to drive autoimmune disease in mouse models of autoimmune arthritis.

Position Qualifications

• PhD (or equivalent) in Immunology, Molecular Biology, Microbiology, or a related field
• Demonstrated record of rigorous basic and/or translational research during graduate training, with strong scientific productivity
• Extensive experience in immunologic and molecular biology techniques, such as flow cytometry/spectral flow, PCR, western blotting, and murine models
• Proven ability to design, execute, and interpret complex experiments independently
• Expertise in one or more of the following areas:
  • Mouse models of inflammatory or autoimmune disease
  • Immune profiling and signaling assays
  • Genetic engineering of immune cells
• Bioinformatics or computational analysis of large-scale datasets
• Strong quantitative and analytical skills
• Excellent written and oral communication skills, with a track record of scientific presentations and publications
• Ability to work both independently and collaboratively within a multidisciplinary research environment
• Highly motivated, organized, and detail-oriented, with a strong commitment to scientific discovery
• Demonstrated ability or willingness to mentor junior trainees (students or technicians)

Research Environment
The Ashouri Lab is located at the University of California, San Francisco (UCSF) Parnassus Medical Center campus in the Inner Sunset and is embedded within the vibrant Immunology & Microbiology community. This environment offers extensive opportunities for collaboration with leading investigators across disciplines and access to state-of-the-art core facilities, including genomics, flow cytometry, and animal research resources. The lab fosters a supportive and inclusive culture that emphasizes scientific rigor, mentorship, and professional development, with opportunities for grant writing, conference participation, and mentoring trainees.

How to Apply
Candidates interested in this position should send a single PDF comprising: 

• a cover letter (please describe your past research, your interests, and your career goals, 1 page)
• a current CV including publication list
• names and contact information of three references 

Email your application to Dr. Judith Ashouri-Sinha at [email protected] with subject line “Postdoc Application -Ashouri Lab”

_{Posted: 3.30.26}

Position Description

The Kotas lab at the University of California, San Francisco is seeking a highly motivated postdoctoral researcher to study the interaction between immune cells and structural cells of the lung and airway, including but not limited to the context of asthma. The lab uses a combination of in vivo mouse modeling and ex vivo and in vitro cell culture, studied using flow cytometry, single cell and bulk transcriptional analysis, and 3D confocal imaging. For more information, please visit kotaslab.ucsf.edu. Successful candidates will join a collaborative lab, work on independent research project(s), and be provided direct mentorship towards future academic or industry careers. Postdoctoral fellows are expected to be problem-solvers with a positive attitude, who design and perform experiments, critically analyze data, and assume primary responsibility for writing and publishing the scientific results. Postdoctoral fellows are expected to apply and be competitive for intramural and extramural funding. Postdoctoral fellows interested in both academic and industry careers are encouraged to apply.

Position Qualifications

Required: 

• PhD or equivalent in biology, bioengineering or a similar field
• Proficiency in laboratory research, including experimental design, data collection, and analysis
• Excellent communication and interpersonal skills, including ability to work collaboratively as well as independently
• Strong attention to detail and ability to maintain accurate laboratory records
• High-quality publications from graduate school 

Ideal candidates will also be experienced in one or more of the following domains: 

• Standard molecular and cellular assays including immunofluorescence staining, flow cytometry, qPCR, and ELISA
• Tissue / cell culture techniques including organoids, air-liquid interface (ALI) culture, lymphocyte stimulation or migration, and/or precision-cut lung slices (PCLS)
• Mouse modeling of lung disease, use of lineage-tracing and conditional genetic knockouts, and tissue processing.
• Computational analyses of single cell or bulk RNA sequencing, or similar

Research Environment

The Kotas lab is part of the Division of Pulmonary, Critical Care, Allergy and Sleep within the Department of Medicine, and is affiliated with the ImmunoX program and Biomedical Sciences programs. Postdoctoral fellows will benefit from frequent interactions with complementary and collaborating labs at UCSF, access to core facilities (imaging, genomics, vivarium), and participation in the university’s postdoctoral professional development & mentorship programs. The lab encourages an inclusive and supportive ecosystem, encouraging grant writing, conference travel, and opportunities to mentor more junior trainees. 

How to Apply

Interested candidates should send an email containing a cover letter (describing past research, interests and career goals as pertaining to our lab), current CV including publications, and names and contact information for three references to [email protected].

_{Posted: 4.2.26}

Position Description

Our team at UCSF is seeking one postdoctoral scholar to join the UCSF TECH Lab techlab.ucsf.edu, led by Dr. Peter Washington profiles.ucsf.edu/peter.washington. The UCSF TECH Lab works on research projects leveraging smartphones, wearables, and custom websites to collect data used to train AI models in a human-centered manner, with the end goal of creating and translating into real-world practices digital diagnostics, digital therapeutics, and remote patient monitoring solutions. We seek a postdoc who is interested in the intersection of mobile or web development, human-centered design, and running user studies to support the creation and evaluation of novel digital platforms to support AI-powered diagnosis, remote patient monitoring, and adaptive digital interventions and therapeutics. The candidate for this position will leverage their software engineering and human-computer interaction skills to develop AI-powered digital therapeutics, digital interventions, and digital diagnostics that will be used across a wide range of areas, including substance use, mental health, pediatrics. The UCSF TECH Lab is hosted within the UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT) docit.ucsf.edu, which sits within the Department of Medicine and serves as the academic home for applied clinical informatics at UCSF. DoC-IT also serves as a coordinating entity with key internal and external digital stakeholders across all UCSF mission areas, schools, departments, and divisions. The Division is also the home of UCSF’s Clinical Informatics Fellowship and partners with other UCSF entities to develop new education and training programs. Lastly, DoC-IT forges novel partnerships with UCSF health systems, other UCSF affiliates, and industry partners to ensure that our work has real-world impact.

Position Qualifications

Required Qualifications: 

• Currently has or is in the process of obtaining a PhD in Human-Computer Interaction, Information Science, Biomedical Data Science, Health Informatics, Computational Precision Health, Health Data Science, Computer Science, or a related area
• Software development experience (either mobile or web is fine, with the ability to pick up new frameworks)
• Ability to engineer full-stack systems, picking up new APIs and other tools as needed for the job
• Experience with deployment of software ecosystems into cloud environments. The UCSF TECH Lab uses Amazon Web Services (AWS), so need to be comfortable working with or learning AWS
• First-authored publications at leading journals and/or conferences
• Effective communication and interpersonal skills
• Ability to communicate technical information to technical and non-technical personnel at various levels in the organization
• Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines
• Demonstrated broad problem-solving skills 

Optional Qualifications: 

• Experience recruiting and engaging with participants for digital health studies
• Experience in Python for machine learning (deep learning)
• Experience writing IRB protocols
• Qualitative data analysis experience
• Interest in a career in either (1) entrepreneurship or (2) academia

Research Environment

The UCSF TECH Lab, within DoC-IT at UCSF, is looking for a postdoctoral fellow to lead their mobile health (mHealth) software engineering and human-computer interaction efforts in consumer digital health informatics. The job will include: (1) building AI-powered smartphone apps for digital mental health therapeutics/interventions, (2) hosting these technologies within UCSF’s HIPAA-compliant ecosystem, (3) contributing to existing digital diagnostic platforms on the web, (4) collaborating with our clinical and domain experts to run recruitment efforts to collect novel datasets from the aforementioned mobile/web/wearable platforms (note that we can recruit directly by sending MyChart messages to patients within UCSF Health who match inclusion/exclusion criteria based on a SQL query, making recruitment very streamlined and simple), and (5) running participatory co-design sessions with patients and clinicians to glean HCI insights into human-centered AI lessons relevant to the development of the digital diagnostics and digital interventions. Optionally, the candidate may also use the collected multimodal datasets and build machine learning models with the data. 

The postdoctoral scholar will disseminate their findings through first-author research papers in journals and/or conferences in addition to public/community engagement. The postdoctoral scholar will also receive mentorship in activities such as writing their own fellowship grants, running their own research lab (through mentorship of their own team of UC Berkely undergraduates and UCSF master’s students), and transitioning into research independence. The initial appointment will be for 2 years, with an opportunity for extension pending performance and availability of funds. 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. This is a hybrid or remote position. Hybrid is preferred, but remote options will be possible for exceptional candidates.

How to Apply

Please email a cover letter describing your qualifications for the position and a current CV to:[email protected] 

Questions about the position can be directed to: [email protected] 

Applications received by June 5, 2026 will be given priority consideration.

_{Posted: 4.7.26}

Position Description

The NeuroAI Lab at UCSF, led by Assistant Professor Pedro Pinheiro-Chagas, is seeking a postdoctoral fellow to develop clinical agentic AI systems for neurodegenerative disease diagnosis and care. The successful applicant will join a multidisciplinary team combining expertise in artificial intelligence, clinical neurology, neuropsychology, and radiology, aiming to create next-generation clinical AI tools that affect real-world practice. The primary project centers on a clinical agentic AI diagnostic system that leverages generative AI to encode domain knowledge and perform clinical reasoning, grounded in scientific literature and empirical databases. This is combined with traditional machine learning models (e.g., linear classifiers) that provide calibrated probability scores and an interpretable layer of diagnostic support. The system mirrors the workflow of a multidisciplinary expert team, producing not only a diagnosis but a complete evidence trail designed to support rather human clinical judgment. In close collaboration with world-class specialists from the UCSF Memory and Aging Center and the Radiology Department, this highly collaborative initiative offers comprehensive mentorship and direct translational impact. The appointed fellow will spearhead the development, evaluation, and optimization of clinical agentic AI workflows, elaborate dynamic prompt engineering, and implement benchmarking protocols using real and simulated clinical data. Responsibilities include improving accuracy and interpretability, automating multimodal data processing, maintaining full compliance with data security and regulatory standards (HIPAA).

Position Qualifications

Required Qualifications:

• Ph.D. in Computer Science, Biomedical Engineering, Neuroscience, Data Science, or related quantitative discipline.
• Demonstrated expertise in machine learning, with strong foundations in deep learning and generative AI with Python.
• Experience with agentic AI architectures, workflow orchestration, and human-AI interaction design.
• Proven record working with neurodegenerative disease datasets.
• Established track record of peer-reviewed publications and exceptional scientific writing skills.
• Demonstrated capacity to work autonomously and thrive in multidisciplinary research teams, adapting effectively in fast-paced, translational environments. 

Preferred Qualifications: 

• Knowledge of data security, privacy, and clinical regulatory requirements (e.g., HIPAA compliance) for clinical software.
• Experience with multimodal clinical data, including blood biomarkers, genetics, and other molecular or imaging modalities.

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). This unique positioning at the intersection of clinical neuroscience and AI provides the postdoctoral fellow with direct access to world-class clinical collaborators, deeply phenotyped patient cohorts, and cutting-edge computational infrastructure. The fellow will benefit from close mentorship by Dr. Pinheiro-Chagas and senior collaborators across neurology, neuropsychology, and radiology, 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 describing your interests, relevant experience, and specific fit for our lab and this project, a CV, and three names of references to [email protected]

_{Posted: 4.8.26}

Position Description

A full-time postdoctoral scholar position is available for a highly motivated scientist interested in clinical pharmacology research in HIV cure, HIV, COVID-19, long-COVID or Post Acute Sequelae of COVID-19 (PASC). Projects will generate new approaches in the design and analysis of clinical trial data to inform drug development and dosing and underlying disease pathogenesis towards HIV cure and treatment of other viral, immune, or inflammatory conditions.

Position Qualifications

• PhD, MD, or PharmD
• 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 basic statistical analysis approaches relevant to clinical or translational studies.
• Prior experience in pharmacometrics (population pharmacokinetics, PK/PD, systems pharmacology modeling) or modeling viral or immune kinetics is a plus.

Research Environment

The postdoctoral scholar will be based in the Drug Research Unit (DRU) at UCSF. The DRU is a biomedical research and training program in which faculty, postdoctoral fellows, residents, and students conduct drug research, with an emphasis on pharmacokinetics (PK) and pharmacodynamics (PD). As a member of a highly collaborative, cross-disciplinary team of clinicians, virologists, immunologists, pharmacologists, pharmacists, epidemiologists, and statisticians, the postdoctoral researcher will have the opportunity to lead clinical studies and will work closely with the DRU co-Director, Dr. Amelia Deitchman, and her team. The postdoctoral scholar will have opportunities to publish the work in professional journals and/or present data at professional meetings. They will also be encouraged to take advantage of other training and learning opportunities within the Department of Clinical Pharmacy, the School of Pharmacy, and the Center for AIDS Research at UCSF.

How to Apply

Please send a CV, a short cover letter summarizing your research experience, and the names and contact information for 3 references to: [email protected]

_{Posted: 4.10.26}

Position Description

We are seeking a highly motivated postdoctoral scholar to join an interdisciplinary team investigating the biological basis of recurrent pregnancy loss. The successful candidate will contribute to a large translational research program integrating clinical phenotyping with whole-genome sequencing, single-cell profiling, metabolomics, environmental exposure assessment, and computational interpretation of multi-omics data. The postdoctoral scholar will participate in patient-focused and laboratory-based research, including recruitment and phenotyping of clinical cases, collaboration with reproductive medicine and genetics clinics, generation and analysis of genomic and molecular data, and integration of findings across multiple data types. The overall goal of the project is to identify genomic determinants and molecular signatures associated with pregnancy loss and to advance predictive and mechanistic understanding of this condition.

Position Qualifications

• PhD, MD/PhD, or equivalent degree in genetics, genomics, molecular biology, biochemistry, reproductive biology, or a related field
• Strong interest in reproductive biology, human genetics, or translational omics research
• Excellent organizational, analytical, and communication skills
• Ability to work effectively in a collaborative, multidisciplinary research environment

Research Environment

A fully funded postdoctoral position is available to study the genetic and molecular causes of recurrent pregnancy loss (RPL). This project is a major collaborative effort between the University of California, San Francisco (UCSF) and Stanford University, bringing together clinical and research experts in reproductive medicine, in vitro fertilization, genomics, metabolomics, single-cell biology, and multi-omics data analysis.

How to Apply

Please send a CV, a brief statement of research interests, and contact information for references to: [email protected]

_{Posted: 4.15.26}

Position Description

The laboratory of Dr. Fatemeh (Flora) Momen-Heravi at the University of California, San Francisco (UCSF) is seeking a highly motivated and creative postdoctoral scholar to join an NIH-funded and rapidly expanding research program focused on cancer immunology, extracellular vesicle (exosome) biology, and the tumor microenvironment. Our research aims to define how tumor-intrinsic programs and intercellular communication via extracellular vesicles shape immune responses, tumor progression, and therapeutic resistance in head and neck cancers and other solid malignancies. A central focus of the lab is to uncover how exosome-mediated signaling regulates immune cell function, stromal remodeling, and systemic immune programming, with the goal of developing novel biomarkers and precision immunotherapeutic strategies. The successful candidate will work at the interface of tumor biology, immunology, and translational medicine, using cutting-edge approaches to dissect cell–cell communication networks within the tumor microenvironment. The project integrates single-cell and spatial multi-omics, functional immunology, and gene perturbation strategies to identify mechanisms that drive tumor progression and immune evasion. 

Experimental approaches in the laboratory include: 

• Single-cell and spatial transcriptomics (scRNA-seq, spatial profiling)
• Extracellular vesicle isolation, engineering, and functional characterization
• Immune profiling (flow cytometry, multiplex imaging, cytokine analysis)
• CRISPR-based functional genomics (CRISPRi/CRISPR-Cas9 screening)
• Patient-derived models, including organoids and primary human tissues
• In vivo models of cancer and immune modulation
• Bioinformatics and integrative multi-omics analysis 

This position provides a unique opportunity to contribute to highly impactful translational research programs spanning biomarker discovery, early cancer detection, and exosome-based therapeutic development.

Position Qualifications

• Ph.D. in immunology, cancer biology, molecular biology, bioengineering, or a related field
• Strong background or interest in tumor immunology, extracellular vesicles, or cancer biology
• Experience in single-cell genomics, bioinformatics, or functional immunology is highly desirable
• Demonstrated ability to work independently and collaboratively in a multidisciplinary environment

Research Environment

The Momen-Heravi laboratory offers a highly collaborative and intellectually stimulating environment within UCSF, with strong integration across cancer biology, immunology, and data science. Trainees receive individualized mentorship with a focus on: 

• Developing scientific independence
• High-impact manuscript and grant writing (e.g., K99/R00, NIH pathways)
• Advanced training in multi-omics, computational biology, and translational research
• Career development toward academic, industry, or physician-scientist pathways
• The lab is embedded within the UCSF ecosystem, providing access to world-class core facilities, clinical collaborators, and interdisciplinary research programs.

How to Apply

Interested candidates should contact Dr. Fatemeh (Flora) Momen-Heravi directly [email protected] with a CV, a brief statement of research interests, and contact information for references.

_{Posted: 4.20.26}