Oni-orisan Lab

4 weeks ago


San Francisco, United States UC San Francisco Academic Full time

**Application Window**:
**Open date**:April 22, 2024

**Next review date**: Tuesday, May 7, 2024 at 11:59pm (Pacific Time)

**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 associate specialist(s) to assist our team to generate, manage, and analyze large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.

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.

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.

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

**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 LetterStatement 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.

**Job location**:
San Francisco, CA