Oni-Orisan Lab - Junior Specialist / Assistant Specialist - Computational Lab

Application Window

Open date : April 22, 2024

Most recent review date : Tuesday, May 7, 2024 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 : Wednesday, Oct 22, 2025 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 - Junior Specialist / Assistant Specialist - Computational Lab

Department of Clinical Pharmacy

University of California, San Francisco

The Oni-Orisan Lab at UCSF's Department of Clinical Pharmacy and the Institute for Human Genetics is 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 junior or assistant specialist(s) to assist our team to generate, manage, and analyze large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.

The laboratory currently has projects identifying the genetic and social determinants of pharmacological drug response among racial / ethnic minorities, elucidating the clinical validity of CHD polygenic risk scores for statin ASCVD prevention by leveraging real-world data from the Kaiser Permanente Research Bank (KPRB) and validating key findings in the Million Veteran Program (MVP) cohort of the Veterans Affairs (VA) Health Care system, and candidate variants / genes / pathways associated with new-onset diabetes susceptibility in statin users.

Responsibilities include generating drug response phenotypes (e.g., develop the genotype / phenotype), constructing longitudinal data sets for further analyses, generating visualization plots to characterize the data, conducting the 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(s) will play an integral role in advancing our knowledge of pharmacogenomics.

We are seeking individuals with at least an 18-month commitment. Depending on performance and workload, opportunities for independent research may be available.

The successful candidate will have strong interest or experience in precision medicine, cardiology, and / or pharmacogenomics.

Appointees in the Specialist series will be expected to engage in specialized research, professional activities and 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

• Junior Specialist- BA / BS (or equivalent degree) in Biology, Computer Science, Mathematics, Statistics, or related field or at least four years of research experience.
• Assistant Specialist - Master's degree OR a bachelor's degree in Biology, Computer Science, Mathematics, Statistics, or related field with three or more years of research experience.
• Six months of experience in a research setting (can be during educational activities).
• Ability to manage time and multi-task effectively.
• Experience coding in Python and / or R environments.
• Thorough skills associated with statistical analysis and programming
• Proficiency in statistics, data analysis, research methods and statistical packages such as SPSS, SAS, and / or R, or a related package
• Knowledge of large dataset management, data analysis, data visualization (preferably KPRB, All of Us, MVP)
• Prior experience constructing complex, longitudinal data sets, conducting inferential statistics, and related coding.
• Skills to communicate complex information in a clear and concise manner both verbally and in writing
• Ability to adhere to all campus safely policies.

Preferred Qualifications

MA / MS (or equivalent degree) in Biology, Computer Science, Mathematics, Statistics, or related field.

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.

However, this position will remain open until filled. Salary will be commensurate with the applicant's experience and training.

See Table 24B(N) for the hourly range for this position. A reasonable estimate for this position is $24.57-$31.57.

Please apply online at : https : / / aprecruit.ucsf.edu / JPF05054 , with CV, cover letter, 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. board eligibility / certification, medical licensure, etc.).
• Cover Letter
• Statement of Research (Optional)

Reference requirements

2 required (contact information only)

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

Statement of Research (Optional)

Misc / Additional (Optional)

Reference requirements

2 required (contact information only)

About UC San Francisco

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.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence.

The University of California is an Equal Opportunity / Affirmative Action 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.

Job location

San Francisco, CA