Oni-Orisan Lab - Assistant Specialist - Computational Lab

Application Window

Open date: October 17, 2025
Next review date: Saturday, Nov 1, 2025 at 11:59pm (Pacific Time)
Final date: Saturday, Apr 17, 2027 at 11:59pm (Pacific Time)

Oni-Orisan Lab - Assistant Specialist - Computational Lab
Department of Clinical Pharmacy, University of California, San Francisco

The Oni-Orisan Lab has two major interests: establishing pharmacogenetic predictors of statin efficacy and safety, and advancing pharmacogenomic discovery and validation in historically excluded populations.

We hire an assistant specialist to manage, analyze large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.

• Generate drug response phenotypes (e.g., genotype/phenotype development)
• Construct longitudinal data sets for further analyses
• Create visualization plots to characterize the data
• Conduct inferential statistical analyses
• Prepare and analyze requested data analytics; archive code for future use
• Play an integral role in advancing pharmacogenomics knowledge

12‑month commitment. No teaching responsibilities. Specialists are expected to use professional expertise to make scientific contributions and may participate in university and public service.

• MA/MS (or equivalent) or bachelor’s degree in Health Data Science with ≥3 years of research experience
• 1 year of experience in a research setting (including during education)
• Proficiency in statistics, data analysis, research methods, and statistical packages such as SPSS, SAS, R, or related
• Prior experience constructing complex, longitudinal data sets, conducting inferential statistics, and coding
• Knowledge of large dataset management, data analysis, and data visualization
• Experience in statistical analyses on large datasets containing EHRs, genomic data, drug regimens, and clinical outcomes
• Training/experience in biostatistics, pharmacogenomics, cardiology, and precision medicine
• Excellent time management and project completion on deadline
• Strong verbal and written communication; effective presentation skills; good organizational and interpersonal skills
• At least one peer‑reviewed publication or submitted publication under review
• Self‑motivated, positive attitude, strong attention to detail
• Availability Monday‑Friday business hours; on‑site 3 days per week (Tuesday‑Thursday)

• MA/MS degree (or equivalent)

Screening begins immediately and continues throughout the recruitment period. For full consideration, apply by the initial review date.

Salary range: $63,500–$70,700 (commensurate with experience and training). Apply online at (Use the "Apply for this Job" box below)./JPF
05833
.

Required documents:
Curriculum Vitae (must list current/pending qualifications); optional Cover Letter; optional Statement of Research.

Reference requirements: 2 references (contact information only).

The University of California 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, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and aligned with our PRIDE values and Principles of Community.

San Francisco, CA