POSITION OVERVIEW

Position title: Assistant Project Scientist or Associate Project Scientist
Salary range: The UC Academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for current salary scales for this position. https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf. The current full-time base salary range for this position is $76,700- $115,400. “Off-scale” salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.
Percent time: 80%
Anticipated start: October 2025
Position duration: This is a three-year term with the possibility of renewal, contingent on performance.

POSITION DESCRIPTION

Professor Jingshen Wang, located at the University of California, Berkeley’s School of Public Health, is seeking a motivated Assistant or Associate Project Scientist to join the Division of Biostatistics. This position offers an exciting opportunity to work at the intersection of statistics, neuroscience, machine learning (ML), artificial intelligence (AI), and aging research.
The successful candidate will contribute to a research program aimed at understanding the causal relationships between Alzheimer’s disease pathologies—including amyloid, tau, neurodegeneration, and cognition—and describing the heterogeneity in these relationships across individuals and disease stages using novel ML/AI methods.
The Assistant/Associate Project Scientist will play a key role in designing and implementing statistical and machine learning models using large, multimodal datasets, while also contributing to supervision, collaboration, and research funding efforts within a dynamic and supportive academic environment.

Duties of the Position:

• Under the direction of the Principal Investigator (PI), the candidate will design and conduct original research projects on Alzheimer’s disease and brain aging.
• Apply advanced statistical and machine learning methods to neurobiological and clinical data.
• Prepare and submit manuscripts for publication in peer-reviewed journals.
• Develop competitive grant applications and contribute to team-based funding efforts.
• Train and mentor undergraduate and graduate students.
• Collaborate with faculty, clinicians, and external research partners.
• Present research findings at national and international scientific meetings.

Division: https://publichealth.berkeley.edu/academics/biostatistics
Bargaining Unit: https://ucnet.universityofcalifornia.edu/resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/
Benefits Package: https://hr.berkeley.edu/compensation-benefits/benefits

QUALIFICATIONS

Basic qualifications (required at time of application)

• Ph.D. degree (or equivalent international degree)

Preferred qualifications

• PhD in Biostatistics, Statistics, Neuroscience or a closely related field.
• Demonstrated research experience in Alzheimer’s disease and/or aging.
• Proven expertise in multivariate statistics and machine learning applied to neuroscience or biomedical data.
• Track record of peer-reviewed publications in Q1 scientific journals.
• Experience with the supervision or mentorship of students.
• Experience with obtaining and writing extramural research funding (e.g., fellowships, grants).
• Expert at one or more analytical programming languages (MATLAB, R, Python, etc.) Track record of leading projects across institutions and fields for example working with clinicians, neuroscientists, statisticians and computer scientists.
• Knowledge of pathways to commercialization for medical technologies.

APPLICATION REQUIREMENTS

Document requirements
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Curriculum Vitae - Your most recently updated C.V.
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Cover Letter - 1-2 pages
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Research Statement

REFERENCE REQUIREMENTS

• 3 required (contact information only)
  Apply link: https://aprecruit.berkeley.edu/JPF05029
  Help contact: michelle1@berkeley.edu

• Under the direction of the Principal Investigator (PI), the candidate will design and conduct original research projects on Alzheimer’s disease and brain aging.
• Apply advanced statistical and machine learning methods to neurobiological and clinical data.
• Prepare and submit manuscripts for publication in peer-reviewed journals.
• Develop competitive grant applications and contribute to team-based funding efforts.
• Train and mentor undergraduate and graduate students.
• Collaborate with faculty, clinicians, and external research partners.
• Present research findings at national and international scientific meetings