Publisher
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University of Southern California

Just Landed

Postdoctoral Scholar - Research Associate University of Southern California in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Annual base salary range: $70,000 - $70,304.04.

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Country

United States

University

University of Southern California

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Keywords

Computer Science
Cancer Biology
Biology
Computational Biology
Computational Science
Medical Science
Software Development
Next-generation Sequencing
Epigenetic
Genomic
Statistics
Bioinformatic
ML

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About this position

This postdoctoral research associate position at the University of Southern California sits within the Keck School of Medicine and focuses on cancer biology in a collaborative genomics and epigenomics research environment.

The trainee will work on dry-lab analysis of in-house sequencing data and the integration of large-scale, multi-dimensional omics datasets. The project emphasizes molecular and computational biology, genomics, and bioinformatics, with opportunities to contribute to multiple research projects under the direction of the principal investigator.

Day-to-day work includes maintaining open-source software, building computational infrastructure, writing scripts for next-generation sequencing analysis, developing web-based tools for data analysis, and preparing presentations and scientific manuscripts. The role is embedded in a multi-lab, team-based setting that supports large consortia efforts aimed at fighting cancer.

The successful candidate will also take on responsibilities in mentoring and teaching other lab members, while contributing to ongoing research output in a highly collaborative academic environment at USC.

Funding details

Annual base salary range: $70,000 - $70,304.04.

What's required

Applicants must possess a PhD or be close to completion of a PhD or DPhil in Computational Biology, Bioinformatics, Computer Science, Data Science, or a relevant field such as Biology with strong quantitative training in bioinformatics. Background and work knowledge in scientific computing, algorithms, and machine learning or statistics is required. Familiarity with R or Python and the Unix (Linux) environment is required. Skills in additional programming languages such as Perl or Java are a plus. Experience analyzing and annotating large omics datasets in exploratory and pipelined workflows is a plus, and experience with 3D epigenomics and/or long-read sequencing is a big plus. The role also requires excellent organizational and communication skills.

How to apply

Send a CV to Dr. Rhie at [email protected] in the Department of Cancer Biology at the USC/Norris Comprehensive Cancer Center. Then complete the Workday application using the posted link.

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