Sr. Data Scientist
Confirmed live in the last 24 hours

1,001-5,000 employees

AI-driven precision medicine through clinical and molecular data analysis
Company Overview
Tempus Labs, Inc. is a leader in precision medicine, leveraging artificial intelligence to analyze vast clinical and molecular data, enabling physicians to deliver personalized, data-driven care. The company's advanced machine learning platform and unique solution sets facilitate the discovery, development, and delivery of optimized therapeutic options for patients. With a focus on extensive molecular profiling, Tempus has developed a robust pan-cancer tumor organoid platform and validated a liquid biopsy assay, demonstrating their commitment to transforming personalized patient care and their position at the forefront of the healthcare industry.
AI & Machine Learning
Data & Analytics

Company Stage


Total Funding





Chicago, Illinois

Growth & Insights

6 month growth


1 year growth


2 year growth

Chicago, IL, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Data & Analytics
  • Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor's degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields
  • Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages
  • Strong data manipulation and analysis skills
  • Ability to tackle large, ambiguous problems
  • Strong communication and presentation skills
  • Self-starter
  • Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research
  • Experience in cancer genetics, immunology, or molecular biology
  • Self-driven and works well in interdisciplinary teams
  • Collaborative mindset, an eagerness to learn and a high integrity work ethic
  • Sharp attention to detail and passion for delivering high quality and timely analytics deliverables
  • Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations
  • Participate in clinical projects with external Pharma, academic and other partners
  • Represent the Real World Evidence function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies
  • Work on complex problems, exercising judgment in selecting and adapting methods as appropriate
  • Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients
  • Stay current with the latest methodological advances in real world studies
  • Build infrastructure including reusable code
  • Comply with all applicable regulations and Company procedures
Desired Qualifications
  • Experience with version control and software testing
  • Experience with time to event analysis and methodology
  • Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources)
  • Hands-on experience in helping to prepare regulatory submissions to the FDA
  • Experience supporting data science teams in model building and validation
  • Client facing or consulting experience and comfort with presenting results to stakeholders