Hammer lab, Cancer Immunology – 2023 Summer Intern
The Hammer lab in Genentech’s Research & Early Development (gRED) Cancer Immunology and Human Genetics departments is focused on disease-oriented research at the interface of human genetics, immunology and cancer. We use molecular (genomics, epigenomics, transcriptomics) and phenotypic (patient outcomes, tumor characteristics) data from large-scale clinical trials or external sources to investigate the impact of inherited and somatic genomic variation on patient responses to cancer immunotherapy (recent review summarizing our focus areas).
This internship position is located in South San Francisco on site.
PhD Student (pursuing PhD, not completed)
Preferred majors: computational biology, human genetics, cancer genomics, statistics
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
- The successful candidate will bring strong analytical and problem-solving abilities as well as excellent communication skills.
- Expertise in R and command line tools for the analysis of human genetics and genomics data is required.
- The ideal candidate will also have expertise working with large population-based genetics cohorts, e.g. UK Biobank.
- Candidates with a strong statistics background are preferred.
- The successful candidate will be expected to perform data acquisition and/or analysis independently, iterate and devise new approaches when problems are encountered, and interact with colleagues to evaluate and interpret findings.
The successful candidate will be a graduate student currently enrolled in a PhD program with demonstrated skills and interest in one or more of the following subject areas: computational biology, human genetics, cancer genomics, statistics, or a related field. We seek a self-motivated, independent, and creative intern to contribute to some of the high-priority research activities in our group:
- Execute genetic association studies in internal data and large population-scale databases
Analyze next-generation sequencing and/or single cell sequencing data sets
- Perform multivariable statistical analyses integrating different genomic and clinical data modalities
- Collect and integrate the results, organize data in a coherent fashion
Participate and present results in our group and department meetings
- Intensive 12-weeks, full time (40 hours per week) paid internship.
- Program start dates are in May and June 2023.
- Ownership of challenging and impactful business-critical projects.
- Work with some of the most talented people in the biotechnology industry.
- Final presentations of project work to senior leaders.
- Lead or participate in intern committees to design and coordinate program events and initiatives.
- Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.
- Participate in volunteer projects, social events, and team-building activities.