South San Francisco
California, United States of America
Internship Start Date: Summer 2019
Length of Assignment: 12 weeks
Work Hours: 40 hours per week
The mission of the Cancer Immunology group is to bring lasting benefit and cures to cancer patients through innovative scientific discoveries and medicines.
We will transform cancer care by taking a science-driven approach to the discovery of drugs and novel drug combinations that activate a patient's own immune system to fight cancer.
Guided by an understanding of the molecular features and immunological profile associated with each patient's disease, we will identify the most promising therapeutic targets.
By combining clinical observation with laboratory investigation, we will reveal the approaches most likely to work and then build upon our successes to achieve dramatic and long-lasting benefit for patients.
The Cancer Immunology department is seeking motivated interns to perform research related to Reverse Translation, using human data and samples to drive drug discovery research. The successful candidates will utilize computational approaches to analyze large multidimensional datasets from clinical trials and preclinical studies with the goal of identifying variables associated with response to checkpoint inhibitors.
Work with the Reverse Translation team to build and implement computational pipelines to identify microbiome and/or human genetics associations with response in GNE immuno-oncology clinical trials. Specific responsibilities will include: exploratory oncology-oriented research utilizing samples and data from human disease cohorts, processing and analyzing clinical trial samples, data analysis and presentation.
Applicants must be at least 18 years old and current graduate students pursuing a PhD in genetics, bioinformatics, biostatistics, or a related field who have completed at least one year of graduate work by May 2019 and who will be returning to school in the fall of 2019. The applicant must be legally authorized to work in the US. In addition, applicants should have good working knowledge of at least one programming language (preferably R or python) and have good communication skills. Those familiar with analysis techniques for statistical genetics and/or microbiome data sets (16S and/or shotgun metagenomics) will be given precedence.
A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.
The next step is yours. To apply today, click on the "Apply online" button.
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