Algorithms, Bioinformatics, Biostatistics, Genetics, Machine learning techniques, Molecular biology, Python Programming, R Programming, Software Development, Statistical modeling
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 for our expanding liquid biopsy portfolio (including diagnostics, therapy selection, molecular residual disease testing and therapeutic response monitoring).
We are looking for a highly motivated and capable bioinformatics data scientist with extensive experience and interest in translational cancer research and genomics algorithm development. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling. Top candidates will also have leadership experience in NGS pipeline development in a clinical setting.
Responsibilities:
Preferred Qualifications:
Ideal candidates will possess:
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Tempus is making precision medicine a reality through the power and promise of data and artificial intelligence. With the world’s largest library of clinical and molecular data, and an operating system to make that data accessible and useful, we enable physicians to make real-time, data-driven decisions to deliver personalized patient care, and in parallel, facilitate discovery, development, and delivery of optimized therapeutic options.
Chicago, IL, USA
2-4 year
Chicago, IL, USA
6-8 year
Bay Area, CA, USA; Boston, MA, USA; Chicago, IL, USA; New York, NY, USA
2-4 year