Computational/Systems Biologist

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 talented Computational/Systems Biologists to join our team. In this role, the successful candidates will collaborate in a major strategic alliance with a world leading biopharmaceutical organization. As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to genetics, transcriptomics and digital pathology. Utilizing Tempus’ data and platforms, you will deliver transformational impact across the entire drug R&D lifecycle for an extensive oncology portfolio.

What You’ll Do

• Partner in interdisciplinary teams with a major pharma client to design, develop and execute computational research leveraging the Tempus platform
• Deliver projects of high complexity to derive actionable insight advancing an innovative oncology drug pipeline
• Become an expert in leveraging Tempus’ epidemiological, clinical, ’omic and imaging data & tools to study the tumor microenvironment
• Collaborate with scientists, engineers, data science and product development teams at Tempus to develop best-in-class computational methods and tools
• Document, summarize and communicate highly technical results and methods clearly to non-technical audiences, and author peer reviewed manuscripts
• Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research & industry trends, and championing new opportunities

Required Qualifications:

• Education to PhD level, or to Masters level with two subsequent years of experience, combining
• Quantitative and computational skills e.g. Computational Biology, Biostatistics, Biomedical Informatics or Data Science
• Immunology, Molecular Biology, or Medical Science
• Extensive prior experience analyzing genomic data, including whole transcriptome sequencing, and single cell RNA sequencing
• Fluent with R or Python, and SQL
• Experienced communicating insights and presenting complex concepts to a diverse audience
• Strong understanding of cancer biology
• Experience in any of the following will also be beneficial:
• drug R&D
• large clinical datasets (EHR, claims data, clinical trials, patient registries, real-world medical data)
• extracting and cleaning large datasets
• network biology and causal inference
• spatial transcriptomics