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Position TitlePostdoctoral Fellow - Computational and Statistical Genomics - University of California Riverside

Company Information

The University of California at Riverside, located in the Inland Empire region of Southern California, is close to Los Angeles and San Diego. The University of California is an Equal Opportunity / Affirmative Action Employer with a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. Postdoctoral fellows at the University of California are represented by a labor union.

Duties and Responsibilities

We are seeking highly motivated individuals to join our Computational and Statistical Genomics Group at the University of California - Riverside.

The postdoctoral fellow will focus on developing computational and statistical methods for big data problems motivated from genomics and epigenomics. Possible research topics include modeling the 3D chromatin architecture using Hi-C data, integrating chromatin structure with ChIP-seq, RNA-seq and other functional genomics assays, and investigating the interplay between genome architecture and gene regulation. The research will be carried out in collaboration with a variety of research groups at the University of California, Riverside and elsewhere. For more information, please check out

The initial appointment will be for one year, with the potential for annual extensions on mutual consent.

Position Qualifications

An ideal candidate would have:

- a recently completed PhD degree in closely related area (computer science, statistics, biostatistics, applied mathematics, computational biology, or bioinformatics)
- strong training in quantitative modeling (machine learning, Bayesian inference, etc.) or computational genomics experiences (high-throughput sequencing data analysis, algorithm development, etc.)
- proficiency in at least one programming language (Python, C/C++, Java, Matlab, or R)
- a track record of publication in peer-reviewed journals
- good spoken and written communication skills