Description: A Postdoctoral Research Opportunity is available at the University of California, San Francisco, in the laboratory of Dr. Allan Balmain.
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.
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
Education:
- PhD in cancer genomics, bioinformatics, computational biology, cancer biology or a related field
Candidates should submit a letter of interest and CV to Dr. Balmain at allan.balmain@ucsf.edu and copy to Nora Bayani (nora.bayani@ucsf.edu).
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 (http://postdocs.ucsf.edu/). The University of California is an Equal Opportunity Employer, dedicated to excellence through diversity.
