Computational Biologist & Real World Evidence (RWE) Scientist

Tempus Labs, Inc.
Chicago, Illinois (US)
Depending on the level, salaries can range from $95,000 - $210,000 per year + benefits
Closing date
May 28, 2022

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Life Sciences, Biotechnology
Position Type
Full Time
Job Type
Research Scientist
Organization Type
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at Tempus Oncology

Location: Boston, Chicago, New York or San Francisco

Tempus is a technology company at the forefront of the expansion of multi-modal healthcare data generation 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, maximise clinical trial success, and ensure the right therapies reach the right patients.

Excitingly Tempus is expanding.  We are looking for talented computational biologists skilled with genomics, systems biology and real world evidence to join our team. We are establishing strategic alliances with world leading biopharmaceutical companies and biotech organizations.  We have opportunities for both individual contributors and scientific and technical leaders to drive these initiatives to success. 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.  You will also develop methodology and algorithms advancing cancer precision medicine for patients across the Tempus network.  


  • Partner with a major pharma or biotech client to design, develop and execute computational research leveraging the Tempus platform to advance drug R&D programs.
  • Become an expert in Tempus’ epidemiological, clinical, ‘omic and imaging data & tools.
  • Become an expert in the pharma/biotech clients’ strategies and pipeline to identify where the Tempus platform can add value.
  • Collaborate with the pharma/biotech client’s scientific and technical teams to co-architect solutions and projects.
  • Analyze multimodal big data to extract insights and drive new research opportunities.
  • Collaborate with Research, Engineering & Data Science teams at Tempus to develop and deliver innovative computational solutions.
  • Document, summarize and communicate highly technical results and methods clearly to non-technical audiences.
  • Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research & industry trends, and championing new opportunities.
  • Lead projects and mentor individual contributors to maximize impact.
  • Author whitepapers and peer reviewed manuscripts.

Preferred Qualifications:​

  • Principal / Assc Director level Positions: 
    • PhD, or Masters plus 2 additional years experience
    • plus a minimum of 6 additional years of directly relevant work experience
    • pharma/biotech experience
    • line management or multidisciplinary project team leadership experience
    Senior Scientist level positions:
    • PhD, or Masters plus 2 additional years experience
    • plus a minimum of 2 additional years of directly relevant work experience
    Scientist or Junior Scientist level positions:
    • PhD, or Masters degree
    Education and experience must combine:
    • quantitative and 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, Oncology, Genetics/Genomics, Molecular Biology, Immunology, or similar
  • Comfort in a client facing role
  • Proficient in R or Python packages for computational biology
  • Strong understanding of the molecular nature of human disease.
  • Expert delivering actionable insight from NGS, clinical and/or real-world data sets.
  • Competency in statistical and mathematical techniques for biological data analysis
  • Thrive in a fast-paced environment and willing to shift priorities seamlessly.

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