Postdoctoral Fellow, Bioinformatics (Nathanson lab)

The Nathanson Lab in the Department of Molecular and Medical Pharmacology, University of California, Los Angeles (UCLA), is recruiting for a postdoctoral fellow. The ideal candidate will be leading biomarker discovery and drug development efforts, driving translational studies, contributing to high-impact publications and grants, and mentoring junior researchers to advance precision therapies for brain tumors. These projects are backed by stable NIH and DOD funding in collaboration with multi-disciplinary teams. The ideal candidate should have a Ph.D. degree in bioinformatics, computational biology, or a related field.

Previous experience with the following is highly desirable:

1) Data processing (Whole Exome Sequencing, RNA sequencing, single cell RNA sequencing), use of version control (Git) and virtual environments (conda, Docker containers) to manage and improve pipelines

2) Data storage (managing storage of large amounts of -omics data across multiple platforms, inventory, record keeping of sequencing data and intermediate files, facilitating data upload to online repositories upon publication)

3) Data Analysis (Communicating with experimentalists to identify appropriate analysis to complement their experiments and improve outputs generated from pipelines, perform necessary model fitting, statistical testing, and data plotting in R and/or Python.

Interested candidates should provide a brief cover letter and curriculum vitae.

PhD degree

Previous experience with the following is highly desirable:

1) Data processing (Whole Exome Sequencing, RNA sequencing, single cell RNA sequencing), use of version control (Git) and virtual environments (conda, Docker containers) to manage and improve pipelines

2) Data storage (managing storage of large amounts of -omics data across multiple platforms, inventory, record keeping of sequencing data and intermediate files, facilitating data upload to online repositories upon publication)

3) Data Analysis (Communicating with experimentalists to identify appropriate analysis to complement their experiments and improve outputs generated from pipelines, perform necessary model fitting, statistical testing, and data plotting in R and/or Python.

No references requested.

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.

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.

For the University of California's Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California's Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.