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 looking for a highly motivated and capable bioinformatics team lead with extensive experience and interest in translational cancer research, genomics algorithm development, and systems validation and verification. This position requires experience with scientific programming, clinical regulatory requirements for software systems, algorithms development, and statistical modeling. Top candidates will also have leadership experience in NGS pipeline development in a clinical setting.
Design diagnostic software systems for Tempus medical devices
Prepare and coordinate software system technical design and requirements analysis
Collaborate with scientists and clinicians to design diagnostic tests in a regulated environment
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.
Ph.D. in quantitative scientific discipline.
Significant experience in medical device development and regulatory submission
2-4 years relevant experience including at least 5 years experience in a supervisory or team lead role
Computational skills using R, Bioconductor, and/or Python.
Ideal candidates will possess:
Experience in regulated medical device development
Experience in cancer genetics, immunology, or molecular biology
Experience working with next-generation sequencing data
Leadership experience in NGS pipeline development in a clinical setting.
Self-driven and works well in interdisciplinary teams
Experience leading a team of scientists or software engineers
Experience with communicating insights and presenting concepts to a diverse audience
Demonstrated programming ability
Background in predictive or prognostic algorithm development
Strong background in the development of statistical models