GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is located in Menlo Park, California. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com
This summer intern position will be part of the Bioinformatics team. They will be trained in the development of improved methods, analysis, pipelines, and algorithms of next-generation sequencing data, for cancer detection, conformant to CLIA guidelines. They will enjoy life in the San Francisco Bay Area, activities with other summer interns, and start-up company culture.
Work on complex problems in which analysis of data requires an in-depth evaluation of various factors.
Collaborate with software engineering, biostatistics and bioinformatics teams.
Exercise judgment in defining methods, techniques and evaluation criteria for obtaining results.
Translate findings into recommendations for the development of new products.
Exact responsibilities will be decided in collaboration with intern mentor(s). The following are examples of possible areas of focus: Apply machine learning methods to modeling and interpretation of biological data
Identify and validate genomic features driving tumor development
Develop and implement new algorithms, or implement algorithms from the literature.
Bachelors, Masters or Ph.D. students in Bioinformatics or related fields.
Previous life science research experience
Experience with designing and developing complex bioinformatics next-generation sequencing data analysis solutions.
Strong command of statistics as applied to the analysis of NGS data and analytical study design.
Demonstrated expertise in at least one programming language (Java/C++, Go, Python (numpy, etc), R,), proficiency in Linux environment, knowledge of cloud technologies (such as AWS), experience with source control practices and tools (Perforce, Git, Arcanist, etc.)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.