Director – Systems Biology
Posted on 7/30/2022

1,001-5,000 employees

Data-driven precision medicine
Company Overview
Tempus is on a mission to provide the necessary tools to usher in an era of precision medicine. The company has built the world's largest library of clinical and molecular data and an operating system to make that information accessible and useful for patients, physicians, and researchers.
Chicago, IL, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
AI & Machine Learning
Data & Analytics
Biology & Biotech
  • 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
  • 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
Desired 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)