Trainee Bioinformatics Jobs in California (NOW HIRING)

Postdoctoral Scholar - Research Associate

Keck School of Medicine

Cancer Biology

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.

Responsibilities and Duties

• 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

Preferred Qualifications

• 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
• 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

To Apply

1. Send a CV to Dr. Rhie (rhie@usc.edu), from the Department of Cancer Biology in the USC/Norris Comprehensive Cancer Center.

2. Complete the Workday application

The annual base salary range for this position is $70,000 - $70,304.04. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

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