Role overview
At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do.
But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose.
*Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary**
The Data Scientist, Data & Science Solutions at Caris Life Sciences will contribute to the delivery of analytics and research that demonstrate the value of Caris molecular and clinical data products. This role focuses on supporting analytics projects that generate biological insights relevant to drug discovery and translational research. This role will work closely with senior data scientists and cross-functional partners to analyze clinico-genomic data, develop analytical solutions, collaborate on research initiatives, and support a variety of strategic partnerships. A successful candidate will have the analytical, code-oriented mindset to write clean, reproducible code, and the communication skills and expertise needed to translate technical, scientific results for biopharmaceutical partners.
What you'll work on
- Contribute to analytics and research that support internal stakeholders and external partners.
- Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.
- Support preparation of analytical results and figures for internal reviews and client-facing discussions.
- Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.
- Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.
- Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.
What we're looking for
- Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.
- Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.
- Good code documentation practices and experience with workflow management packages.
- Experience working in cloud or HPC clusters.