Assistant/Associate Project Scientist-Biostatistics-School of Public Health

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

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

• 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.

• 3 required (contact information only)

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity 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 refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affirmative Action and Nondiscrimination in Employment