Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a highly motivated and capable Bioinformatics Scientist with experience and interest in translational cancer research and clinical genomics. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling. Top candidates will also have experience deploying bioinformatics code within a clinical setting and/or the tumor-immune microenvironment. The successful candidate will work in an interdisciplinary team, carry out data analysis, and apply and develop best-in-class algorithms that directly address important biological and clinical questions.

Duties and Responsibilities:

• Develop and optimize algorithms used to gain insight into cancer variation and the tumor-immune microenvironment through analysis of next generation sequencing data.
• Design and develop new computational tools and assays for our clinical genomics platform to improve patient care.
• Translate insight from model systems into predictors and classifiers of therapeutic response and prognosis in clinical cancer care, specifically immunotherapy.
• Analyze the world’s largest collection of clinical and molecular data from cancer patients to identify new scientific insights.
• Work in interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients.
• Share those insights with the greater scientific and medical community through publication.
• Produce high quality and detailed documentation for all projects.

Preferred Qualifications:

• Ph.D. in a relevant quantitative discipline (e.g. statistics, bioinformatics, computational biology, genomics, or computer science) or a Ph.D. in cancer biology, immunology, or molecular biology combined with significant previous experience with high-throughput sequencing data analysis. M.S. in a quantitative discipline with significant relevant experience will be considered.
• Must have significant previous experience working with next generation sequencing data, including whole exome sequencing, RNA sequencing, and/or TCR/BCR sequencing.
• Fluent in Python and preferably R.
• Interest in Immunology and Immunotherapy.

Ideal candidates will possess:

• Experience in cancer genetics, immunology, or molecular biology
• Experience working with next-generation sequencing data
• Experience with communicating insights and presenting concepts to a diverse audience
• Background in predictive or prognostic algorithm development
• Experience writing, maintaining, or contributing to high-quality, reproducible, collaborative code.
• Self-driven, capable of independent work and collaborating effectively in a team.

#LI-GL1