Data Scientist II, Translational Research

Data Scientist II, Real World Data Science

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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' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Scientific and Technological Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting‑edge analytical platform and the complex research questions of our clients.

This role is central to client success and adoption of the Tempus Data Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers.

• Client Onboarding &
  
  Education:
  
  Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition onto the Tempus Data Ecosystem and analytical platform.
• Scientific Problem Solving:
  Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design).
• Platform Guidance & Solutioning:
  Translate client scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging).
• Technical Optimization:
  Identify and implement technological solutions and workflow improvements to make the client experience on the platform as easy, efficient, and intuitive as possible.
• Feedback Loop:
  Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges.
• Documentation & Training:
  Create high‑quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis.

• Advanced Scientific Degree: A Master’s or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline).
• Data Analysis Proficiency:
  Demonstrated experience working with and analyzing large‑scale biomedical datasets (e.g., Next‑Generation Sequencing data, clinical trial data, real‑world data).
• Technical Fluency:
  Hands‑on experience with analytical tools and languages relevant to biomedical research. Having R coding experience is required. Knowing additional languages such as Python and SQL and familiarity with cloud environments like AWS/GCP is a great added bonus.
• Team work:
  Proven ability to work collaboratively in a team environment and thrive in a fast‑paced environment, willing to shift priorities seamlessly.
• Client‑Facing
  
  Experience:
  
  Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non‑technical audiences.
• Problem‑Solving Mindset: A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user‑friendly solutions.

• Experience in the biotech, pharma, or healthcare technology space.
• Familiarity with distributed computing environments and modern analytical platforms.
• Direct experience with oncology research.
• Experience with R package development.
• Experience with:
  Pandas, Num Py, Sci Py, Scikit‑learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git,…