Tempus Labs, Inc. is hiring a
Senior Bioinformatics Scientist

Summary

The job is for a Bioinformatics Scientist at Tempus who will design and conduct analysis to improve variant calling systems, collaborate with scientists and clinicians, develop algorithms for cancer variation analysis, and communicate insights. The ideal candidate has a Ph.D., 5+ years of postdoc or industry experience, computational skills, and experience in cancer genetics, immunology, and molecular biology.

Requirements

• Completed a Ph.D. in Cancer Biology or Molecular Biology related to cancer
• At least 5 years of postdoc or industry experience

Responsibilities

• Design and conduct analysis to improve variant calling, classification and analysis systems
• Design and execute experiments to support various regulatory submissions
• Translate insight from model systems into predictors and classifiers of therapeutic response and prognosis in clinical cancer care
• Collaborate with scientists, and clinicians to design and perform analyses on cancer clinical sequencing data in order to improve quality of care
• Lead an interdisciplinary group of scientists and engineers to translate research into clinically actionable insights for our clients
• Develop algorithms used to gain insight into cancer variation through analysis of next generation sequencing data
• Communicate with outside scientific teams as well as product and bioinformatics leadership
• Produce high quality and detailed documentation for all projects

Preferred Qualifications

• Computational skills using Python and/or R
• Experience in cancer genetics, immunology, and/or molecular biology
• Experience working with Next-Generation Sequencing Data
• Experience building NGS pipelines in a clinical setting
• Self-driven and works well in interdisciplinary teams
• Experience leading project teams of scientists and/or software engineers
• Experience with communicating insights and presenting concepts to a diverse audience
• Strong demonstrated programming ability
• Strong background in predictive or prognostic algorithm development
• Strong background in the development of statistical models