Postdoctoral Scholar - Research Associate

University of Southern California • Los Angeles, CA

1d • $70,000 - $70,304

About The Position

This is a one year fixed-term position. There is an exciting new opportunity at the University of Southern California for highly motivated candidates committed to developing a career in molecular and computational biology, genomics, or bioinformatics. The Postdoctoral Scholar – Research Associate will analyze in-house generated sequencing datasets and integrate multi-dimensional large-scale omics datasets (dry lab). The trainee is expected to lead multiple research projects under the direction of the Principal Investigator and s/he will be a part of the collaborative research team who lead large genomics and epigenomics consortia to fight cancer. Due to the collaborative, multi-lab nature of this project, it is essential that the applicant have excellent organizational and communication skills. The postdoctoral trainees will be encouraged to submit their own fellowship and grant applications during their period of training.

Requirements

• Possess a PhD or be close to the completion of a PhD or DPhil in Computational Biology, Bioinformatics, Computer Science, or Data Science in a relevant field (e.g. 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
• Minimum education: Ph.D. or equivalent doctorate within previous three years
• Minimum experience: 0-1 year
• Minimum field of expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.

Nice To Haves

• Skills in other programming languages (e.g. perl or java) is a plus
• Experience in analyzing and annotating large omics data sets, both in exploratory and pipelined fashions is a plus
• Experience in studying 3D epigenomics and/or long read sequencing is a big plus

Responsibilities

• Installing and maintaining existing open-source software
• Building computational infrastructure and systems to support the software
• Writing novel scripts to analyze next-generation sequencing datasets
• Developing web-based applications and tools to facilitate data analysis
• Preparing presentations and publishing scientific manuscripts under the direction of the Principal Investigator.
• Responsible for teaching other lab members

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree