Senior Director - BioPartnering Data Science

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
This role leads the development, delivery, and support of our Caris data products, driving our efforts to build a cutting-edge real-world data platform with complex multi-modal data that accelerates insights into oncology drug discovery and precision medicine. The ideal candidate brings a rare combination of technical depth, leadership acumen, and strategic communication skills to shape the future of translational data products.

Job Responsibilities

• Leading high-impact, cross-functional teams in a matrixed R&D and commercial environment.

• Driving innovation in AI/ML and multi-omic integration to power product development and decision-making.

• Engaging collaboratively with senior stakeholders across pharma, diagnostics, and clinical research to ensure external relevance and internal excellence.

• Define and execute the strategic roadmap for Caris’ data products to deliver value across biopharma partnerships.

• Lead and grow cross-functional teams, integrating computational biology and data science expertise to build and refine products.

• Set scientific and product priorities, develop implementation strategies, and ensure delivery aligned with business objectives.

• Advance precision medicine by delivering high-quality, integrated clinico-molecular datasets for internal use and external partners.

• Translate complex scientific findings into actionable insights for strategic and operational stakeholders.

• Champion innovation in our data products – driving AI/ML-driven data integration, knowledge extraction, and model development.

• Represent scientific and technical excellence in cross-functional collaborations, supporting business development and translational research initiatives.

Required Qualifications

• PhD in computational biology, bioinformatics, genomics, or related quantitative fields.

• 15+ years post-PhD work experience, including industry leadership experience.

• Proven leadership of multi-disciplinary teams driving development of scalable bioinformatics and molecular data products.

• Demonstrated impact in translational research, especially oncology or immunology, with a track record of high-value collaborations.

• Deep expertise in multi-modal data integration, novel algorithm development, and AI/ML applied to large-scale molecular datasets.

• Strong programming background (Python, R), cloud experienced (AWS), and familiarity with structured and unstructured omics data platforms.

• Exceptional strategic and analytical thinking with a bias towards execution.

• Proven ability to influence executive decision-making and communicate across scientific and non-technical stakeholders.

• Highly collaborative, with experience leading in complex, fast-paced environments.

• Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

• Conditions of Employment: Individuals must successfully complete pre-employment process, which includes criminal background check, drug screening, and reference verification.

• Demonstrated great external partner presence and clear communication and track record of education complex facts into a diverse audience.

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