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Oni-Orisan Lab - Assistant Specialist - Computational Lab

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: University of California , San Francisco
Full Time position
Listed on 2026-03-01
Job specializations:
  • Healthcare
    Clinical Research, Data Scientist, Medical Science
  • Research/Development
    Clinical Research, Data Scientist, Research Scientist, Medical Science
Salary/Wage Range or Industry Benchmark: 63500 - 70700 USD Yearly USD 63500.00 70700.00 YEAR
Job Description & How to Apply Below
Application Window

Open date: October 17, 2025

Most recent review date: Saturday, Nov 1, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Saturday, Apr 17, 2027 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

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

The Oni-Orisan Lab at UCSF's Department of Clinical Pharmacy has two major interests that fall within our overarching research mission. First, we aim to establish pharmacogenetic predictors of statin efficacy and safety. Second, we aim to advance pharmacogenomic discovery and validation in historically excluded populations.

We seek to hire an assistant specialist to assist our team in generating, managing, and analyzing large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.

Responsibilities include generating drug response phenotypes (e.g., developing the genotype /phenotype), constructing longitudinal data sets for further analyses, generating visualization plots to characterize the data, conducting inferential statistics, and preparing/analyzing all requested data analytics, as well as archiving code for future use. Through this work, we expect that our specialist will play an integral role in advancing our knowledge of pharmacogenomics.
We are seeking an individual with a 12-month commitment. The successful candidate will have experience in precision medicine, cardiology, and/or pharmacogenomics, and experience in statistical analyses working with large datasets containing electronic health records.

Appointees in the Specialist series will be expected to engage in specialized research and professional activities, but do not have teaching responsibilities. Specialists are expected to use their professional expertise to make scientific and scholarly contributions and may participate in University and Public Service.

Required Qualifications

  • MA/MS (or equivalent degree) or a bachelor's degree in Health Data Science with three or more years of research experience.
  • One year of experience in a research setting (can be during educational activities).
  • Proficiency in statistics, data analysis, research methods, and statistical packages such as SPSS, SAS, and/or R, or a related package.
  • Prior experience constructing complex, longitudinal data sets, conducting inferential statistics, and related coding.
  • Knowledge of large dataset management, data analysis, and data visualization.
  • Existing experience in statistical analyses working with large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.
  • Existing training/experience in biostatistics, pharmacogenomics, cardiology, and precision medicine.
  • Ability to effectively manage time and see assigned parts of projects through to completion on deadline.
  • Skills to communicate complex information in a clear and concise manner, both verbally and in writing.
  • Excellent verbal and written communication and presentation skills; excellent organizational skills; and excellent interpersonal skills to work effectively in a diverse team
  • At least one peer-reviewed publication or submitted publication under review.
  • Self-motivated, positive attitude, strong attention to detail
  • Ability to work standard Monday to Friday, normal business hours.
  • Ability to work on-site at least 3 days (Tuesday, Wednesday, and Thursday) per week.

Preferred Qualifications

  • MA/MS degree (or equivalent degree)

Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. For full consideration, please apply by the initial review date. Salary will be commensurate with the applicant's experience and training.

See Table 24B for the salary range for this position. A reasonable estimate for this position is $63,500-$70,700.

Please apply online at: (Use the "Apply for this Job" box below)./JPF
05833, with CV and contact information for two references. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all of the qualifications at the time of appointment.

Document requirements

  • Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. degree status, etc.).
  • Cover Letter (Optional)
  • Statement of Research (Optional)

Reference requirements

  • 2 required (contact information only)

Location:

San Francisco, CA

Application Requirements Document requirements
  • Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).

  • Cover Letter (Optional)

  • Statement of Research (Optional)

Reference requirements
  • 2 required (contact information only)
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