Research Scholar (Postdoctoral Fellowship)

NCIRE; San Francisco (CA); On-site; USD 70,000 - 80,000; Full time

Benefits offered by this job

Bonus potential

Job summary

NCIRE in San Francisco, CA invites applications for a two-year Post-Doctoral Fellowship in Data Science Applications to Alzheimer’s disease and related dementias. Fellows will engage in bioinformatics, big data, genetic epidemiology, prognostic models and machine learning under the SFVA/UCSF Center of Population Brain Health.

The program trains doctoral graduates to become independent investigators, working with a multidisciplinary team and gaining exposure to didactic sessions and

Qualifications

• PhD in epidemiology, statistical genetics, bioinformatics, biostatistics, computer science, data science or similar quantitative field.
• Experience with large-scale data analyses and computational methods is a plus.

Responsibilities

• Train fellows to become independent investigators under the Fellowship Director.
• Work on large-scale datasets to address research questions on AD/ADRD and brain health.
• Collaborate with investigators and participate in didactic sessions.

Job description

Research Scholar (Postdoctoral Fellowship)

Job Category: Research Scholar

Requisition Number: RESEA001597

• Posted : October 21, 2026
• Full-Time

Locations

Showing 1 location

San Francisco, CA 94121, USA

Description

Dr. Kristine Yaffe and the SFVA/UCSF Center of Population Brain Health are recruiting for an advanced two year Post-Doctoral Fellowship Program in Data Science Applications to Alzheimer disease and Alzheimer disease-related dementias (AD/ADRD) and Brain Health. Potential areas of application include bioinformatics, big data, genetic epidemiology, prognostic models, and machine learning. The fellowship is associated with the Sierra Pacific Mental Illness Research Education and Clinical Center at the San Francisco VA Health Care System is (MIRECC; VISN 21) and affiliated with the University of California, San Francisco (UCSF).

The primary goal of the program is to train fellows with a doctoral degree in epidemiology, statistical genetics, bioinformatics, biostatistics, computer science, data science or similar quantitative field to become skilled investigators for advancing our understanding of AD/ADRD with a focus on solving new challenges in cognitive and brain health research. Over the course of the 2-year program, fellows are trained in bioinformatic concepts and computational methods with opportunities to generate novel approaches and tools to analyze AD/ADRD and brain health data. The successful candidate will work on large-scale datasets to address research questions including understanding risk and resilience factors of brain health, the AD/ADRD exposome across the life course, and mechanistic pathways of AD/ADRD development. Fellows will be responsible for driving an original research agenda while also gaining skills and training to become an independent investigator. Under the guidance of Fellowship Director, Dr. Kristine Yaffe, the candidate will have the opportunity to collaborate with investigators and participate in didactic sessions. Additional faculty mentors are affiliated with the SFVAHCS services for Mental Health, Medicine, Neurology, and Radiology, the UCSF/ SFVAHCS Center for Population Brain Health, the UCSF Departments of Psychiatry and Behavioral Sciences, Neurology, Epidemiology/Biostatistics, Precision Medicine, Neuroscience, the Bakar Computational Health Sciences Institute, and the Global Brain Health Institute.

We are a team of multidisciplinary researchers, dedicated to advancing brain heath across the lifespan. We emphasize population-based research methods to identify risk and protective factors for AD/ADRD, cognitive aging, and brain health and to optimize cognitive and brain health in aging. The expertise of our faculty spans the fields of epidemiology, neurology, and psychiatry. This fellowship is funded by the Office of Academic Affiliations (OAA), Department of Veterans Affairs (VA).

The base wage range for this position is $70,304.00 - $79639.96 per year. The wage actually offered to a successful candidate will take into account various relevant and non-discriminatory business factors including, without limitation, the candidate’s geographic location, job-related experience, knowledge, and skills, and education, as well as internal equity considerations. A successful candidate may also be eligible to earn additional compensation including bonuses.

The Northern California Institute for Research and Education (NCIRE) is an Equal Employment Opportunity Employer. NCIRE is committed to a policy that provides equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, Veteran status, sexual orientation or any other characteristic protected under federal and state law, and to make all employment decisions based on merit, qualifications, and abilities. We are committed to furthering the principle of equal employment opportunity. NCIRE actively works to attract and retain talented individuals. NCIRE offers career opportunities in research and administration in pursuit of furthering medical research for our nation’s Veterans.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

VA Onboarding Requirements:

NCIRE is an affiliate organization of the San Francisco VA Health Care System (SFVAHCS), which requires all candidates to complete SFVA onboarding in addition to NCIRE's onboarding process. The SFVA is a federal agency that requires a federal background check, occupational health clearance, vaccines and immunizations, and drug testing for certain positions. Drug testing may include screening for marijuana which remains an illegal substance according to federal law. The failure to pass required drug testing will disqualify candidates from employment.