(Sr) Scientist, Translational Data Science

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.

About this position

We are looking for a highly motivated scientist passionate about precision medicine, with a strong background in analyzing large-scale, multi-omic molecular and real-world clinical datasets. In this role, you will collaborate with an interdisciplinary team to develop and refine best practices for integrating and analyzing Tempus’ comprehensive multi-modal data—including genomics, transcriptomics, digital pathology, and longitudinal clinical records. You will play a key role in evolving the Tempus Data Model to maximize the value of these diverse data types, and lead impactful research studies that leverage this unique dataset to address critical questions in cancer and other human diseases. Your work will directly enhance Tempus’ research capabilities and empower our teams and partners to generate actionable insights for patient care.

Responsibilities

• Lead and contribute to translational research projects leveraging large-scale real-world clinical and multi-omic molecular data.

• Collaborate closely with computational scientists, engineers, and data production teams to design, validate, and refine data models and analytical workflows for research use.

• Evaluate and integrate omic data sets within the Tempus data platform. 

• Define and document best practices for scientific use of Tempus data, ensuring analytical rigor and reproducibility.

• Communicate complex bioinformatics methods, analytical results, and scientific findings clearly to audiences with varying levels of technical and genomics expertise.

Required Qualifications:

• 3+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis 

• Demonstrated track record of peer-reviewed publications in cancer or translational research using large-scale, multi-omic datasets.

• Strong experience analyzing real-world clinical data and linking it with molecular datasets.

• Advanced SQL skills and hands-on experience working with large, complex relational databases and data models.

• Thrive in a fast-paced environment and willing to shift priorities seamlessly

Preferred Qualifications

• Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes.

• Expertise in multi-omic analyses, including single-cell and/or spatial platforms.

• Proficiency in Python and/or R for scientific data analysis and visualization.

• Familiarity with CLIA/CAP validation frameworks and translating scientific analyses into production or clinical-facing contexts.

• Experience with modern research computing and engineering practices (e.g., Git-based workflows, Docker, cloud computing, code review).

CHI: $100,000-$160,000
NYC/SF: $115,000-$165,000

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

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.