Postdoctoral Fellow– Cancer genomics/bioinformatics

University Of California- San Francisco
Job Location
San Francisco, CA
Job Description

We are looking for an outstanding cancer genomics/bioinformatics scientist with experience in analysis of next generation sequencing including exome, whole genome and RNASeq data. The selected candidate will take a leading role in a project funded by Cancer Research UK as a component of a “Grand Challenge” to assess the impact of environmental carcinogens on mutation signatures in mouse and human cancers. This is a multidisciplinary project involving specialists in cancer biology, genetics and computational biology with two major goals: 1) to identify mutation signatures of carcinogens in mouse tumors induced by known or suspected human carcinogens and compare these with large databases of human mutation signature data; 2) to explore the mechanisms by which non-mutagenic agents, including chemicals, inflammation, obesity or other co-factors in cancer causation may act to promote tumor development. The successful candidate will take a lead role in key aspects of these projects and will require strong motivation, intellectual independence and a strong work ethic. She/he should have an excellent track record of scientific achievement.


PhD in cancer genomics, bioinformatics, computational biology, cancer biology or a related field

Essential skills:

  • Excellent track record of analyzing next generation sequencing data in cancer, particularly whole genome and RNASeq analysis including:
    • Differential expression analysis, SNV calling, indel calling, rearrangement/translocation calling, CNV identification and analysis
  • Outstanding programming skills in at least one of following programing languages: R, C, C++, Perl, Python
  • Good knowledge and understanding of cancer biology
  • Ability to work independently
  • Strong communication skills and ability to work with both computational and bench scientists in a team environment involving international collaborations

Desirable skills

  • Some knowledge of epigenetics and methods of analysis of chromatin structure, Chip-Seq, ATAC-Seq
  • Experience in coexpression or regulatory network analysis of transcriptomic data
  • Experience with TCGA data analysis
How to Apply

 Candidates should submit a letter of interest and CV to Dr. Balmain at [email protected] and copy to Nora Bayani ([email protected])

About Our Organization

The work is based in the purpose-built UCSF, Helen Diller Family Cancer Research Building on Mission Bay campus in San Francisco. UCSF has an active post-doctoral training program with many benefits ( The University of California is an Equal Opportunity Employer, dedicated to excellence through diversity

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