Senior Scientist, Molecular Analytics

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.

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 help develop and optimize the Tempus molecular analytics ecosystem. In this role, the successful candidate will work with an interdisciplinary team to develop best-practices for analyzing Tempus multi-modal data and evolve the Tempus Data Model.  Successful candidates will also lead highly impactful research studies, showcasing best-practices while also addressing fundamental questions related to cancer and human disease. These initiatives will optimize Tempus research capabilities, enabling Tempus scientists and our partners to derive key insights for the benefit of patients. 

Responsibilities

• Lead research teams leveraging Tempus real-world clinical and molecular data. 
• Evaluate and integrate omic data sets within the Tempus data platform
• Collaborate with scientists, pathology, engineers, data science and product development teams at Tempus to develop best-in-class data models and analytical methods
• Communicate highly technical bioinformatics and computational methods clearly to a wide range of audiences with varying levels of genomics background

Required Qualifications:

• 3+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. bioinformatics, computational biology, computational medicine, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis
• Strong background in SQL and data modeling
• Strong background developing and maintaining bioinformatics pipelines
• Thrive in a fast-paced environment and willing to shift priorities seamlessly

Preferred Qualifications

• Strong peer-reviewed publication record
• Strong programming experience in R or Python
• Experience accessing and analyzing public data sets such as TCGA and GTeX .
• Experience analyzing molecular data linked with real world evidence and clinical data
• Experience with multi-omic analyses including single-cell and spatial platforms
• Understanding of CLIA/CAP validation protocols, and how to bring scientific ideas to market
• Experience with engineering practices for research computing (docker, git, code review, cloud computing)

 

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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.