Passionate about making a difference in the world of cancer genomics?

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 highly motivated computational biologist to lead our Computational Systems Biology team. In this role, the successful candidate will oversee an interdisciplinary team responsible for developing and applying integrative clinical and molecular models using real-word data (RWD) to address important biological and clinical questions in cancer. These initiatives will deliver transformational impact in the clinical setting and in partnerships across the entire drug development lifecycle. Top candidates will have experience managing large teams and projects, and demonstrated leadership in advanced statistical genetic analysis and high-dimensional data modeling.

Responsibilities

• Lead team responsible for state-of-the-art analysis and modeling of multimodal clinical and genomic data.
• Evaluate and implement emerging technologies and methods in genomic medicine. 
• Coordinate with leads in Research, Engineering, Data Science, and Medical Affairs to develop and deliver innovative computational solutions and analytical support. 
• Support business units in development and execution of biomedical studies. 
• Design and execute validation plans for compliance with CAP/CLIA regulations for newly developed assays or algorithms.
• Develop novel biomarkers of response and resistance to therapies
• Support development of companion diagnostics
• 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 for advancing precision medicine. 

Required Qualifications

• 3+ years experience in industry or academia, following completion of PhD degree in quantitative discipline (e.g. statistical genetics, cancer genetics, bioinformatics, computational biology, or similar). Alternatively, a PhD in molecular biology with a very strong record of high-throughput sequencing data analysis or equivalent practical experience. 
• Strong understanding of the molecular nature of human disease. 
• Demonstrated expertise with integrative modeling of clinical and/or omics datasets to derive new biological insight. 
• Experience working with large transcriptome data sets. 
• Experience modeling clinicopathological and patient outcome data. 
• Experience managing and mentoring multiple direct reports and supporting junior scientists. 
• Experience managing multiple cross-functional projects, and delivering results in a timely and professional manner.
• Thrive in a fast-paced environment and willing to shift priorities seamlessly.

Preferred Qualifications

• Strong peer-reviewed publication record
• Experience working with real world evidence clinical cancer data (progression free vs overall survival, clinical trial design, data imputation and managing missing variable bias, etc)
• Understanding of CLIA/CAP validation protocols and how to bring scientific ideas to market
• Strong programming experience in R or Python
• Strong database and SQL skills
• Experience with engineering practices for research computing (docker, git, code review, linux, cloud computing)

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