Data Scientist, Data & Science Solutions

Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.

Job Responsibilities

• 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.

Required Qualifications

• PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.
• Strong programming skills in Python or R, with experience developing reproducible analysis workflows.
• Experience with Linux ecosystem, Git, and queries from SQL or related database families.
• Experience with molecular genetics data and/or multimodal real-world data (RWD).
• Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.
• Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

Preferred Qualifications

• 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.