Computational Biologist, Translational Science - Location Flexible

Passionate about using cancer genomics to improve patients' lives?

Tempus is a healthcare technology company at the forefront of the expansion of multi-modal healthcare data and the application of artificial intelligence (AI) to fundamentally change cancer care.  Tempus is growing, and we are seeking exciting new talent to join the team.

Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights enabling physicians to drive better outcomes through precise, individualized care.  Our data accelerates the pace of innovation, empowering researchers to characterize disease, discover new opportunities, maximize clinical trial success, and ensure new therapies reach the right patients. As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to transcriptomics and digital pathology.

We are looking for a Computational Biologist to join our Translational Science team. In this role, the successful candidate will collaborate with the world’s leading biopharmaceutical organizations, utilizing Tempus’ data and platforms to deliver transformational impact across the entire drug development lifecycle. This candidate will work with Tempus business development teams to cultivate and grow Tempus partnerships with pharmaceutical and biotechnology companies.  

Responsibilities

• Partner with our pharma clients to design, develop and execute computational research leveraging the Tempus platform to advance drug R&D programs.
• Become an expert in Tempus multimodal clinical and genomic data.
• Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new research opportunities.
• Lead scientific and technical interactions with clients to co-architect solutions and projects.
• Become an expert in current and prospective clients’ strategies, pipelines and portfolio’s to identify where the Tempus platform can add value, and collaborate with sales teams to realize that value.
• Collaborate with Research, Engineering & Data Science teams to develop and deliver innovative computational solutions. 
• Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research and industry trends, championing opportunities for new markets, and influencing our leadership and global account strategy teams.
• Work with Product and Engineering teams to streamline workflow of computational analyses.
• Document, summarize and communicate highly technical results and methods clearly to non-technical audiences.
• Author whitepapers and peer reviewed manuscripts illustrating the value of multimodal analysis and AI in drug discovery

Preferred Qualifications:

• Education to Masters or PhD level combining
• quantitative and/or computational skills e.g. Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, Data Science for Health or similar.
• biological or medical knowledge e.g. Human Disease, Genetics/Genomics, Molecular Biology or Immunology
• Comfort in a client facing role
• Proficient in R or Python
• Strong understanding of the molecular nature of human disease
• Expert delivering actionable insight from transcriptomic data sets.
• Experience with Clinical Trial Data and/or Real World Evidence
• Experience with integrative methods to model multi-modal clinical and/or omics data.
• Experienced in SQL
• Thrive in a fast-paced environment and willing to shift priorities seamlessly.
• Experience in any of the following will also be beneficial: drug R&D; oncology; immunology; single cell or spatial transcriptomics; mechanistic modeling and inference; knowledge and graph based AI techniques