Data Scientist, Data & Science Solutions
Caris Life Sciences
July 01, 2026
Remote friendly (Tempe, AZ)
United States
IT
Position Summary
Caris Life Sciences is seeking a data scientist to expand, test, and validate molecular biomarkers to improve the standard of care for cancer patients. Research focus: statistical or machine-learning derived predictions of phenotypic treatment response from genotypic data on Caris molecular sequencing platforms.
Job Responsibilities
- Contribute to analytics and research supporting internal stakeholders and external partners.
- Develop and evaluate molecular signatures and analytical approaches leveraging Caris data for partner research and drug discovery.
- Prepare analytical results and figures for internal reviews and client-facing discussions.
- Develop and maintain tools, workflows, and automated solutions to scale analytics and data science operations.
- Support Biopharma Solutions with feasibility assessments and tooling to optimize workflows.
- Write well-structured, well-documented, reproducible code, including efficient queries and organized codebases.
Required Qualifications
- PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related field.
- Strong Python or R skills; experience building reproducible analysis workflows.
- Experience with Linux, Git, and SQL (or related database) queries.
- Experience with molecular genetics data and/or multimodal real-world data (RWD).
- Ability to translate biological/scientific questions into analytical/statistical approaches and deliver insights.
- Strong verbal and written communication skills.
Preferred Qualifications
- Experience interpreting clinical health records (EHRs, insurance claims, patient histories).
- Experience collaborating with external partners/clients (biopharma/healthcare).
- Good code documentation and workflow management experience.
- Experience working in cloud or HPC clusters.
Other
- May require periodic travel and some evenings/weekends/holidays.
Conditions of Employment
- Pre-employment process including criminal background check, drug screening, (credit check for certain positions), and reference verification.
Caris Life Sciences is seeking a data scientist to expand, test, and validate molecular biomarkers to improve the standard of care for cancer patients. Research focus: statistical or machine-learning derived predictions of phenotypic treatment response from genotypic data on Caris molecular sequencing platforms.
Job Responsibilities
- Contribute to analytics and research supporting internal stakeholders and external partners.
- Develop and evaluate molecular signatures and analytical approaches leveraging Caris data for partner research and drug discovery.
- Prepare analytical results and figures for internal reviews and client-facing discussions.
- Develop and maintain tools, workflows, and automated solutions to scale analytics and data science operations.
- Support Biopharma Solutions with feasibility assessments and tooling to optimize workflows.
- Write well-structured, well-documented, reproducible code, including efficient queries and organized codebases.
Required Qualifications
- PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related field.
- Strong Python or R skills; experience building reproducible analysis workflows.
- Experience with Linux, Git, and SQL (or related database) queries.
- Experience with molecular genetics data and/or multimodal real-world data (RWD).
- Ability to translate biological/scientific questions into analytical/statistical approaches and deliver insights.
- Strong verbal and written communication skills.
Preferred Qualifications
- Experience interpreting clinical health records (EHRs, insurance claims, patient histories).
- Experience collaborating with external partners/clients (biopharma/healthcare).
- Good code documentation and workflow management experience.
- Experience working in cloud or HPC clusters.
Other
- May require periodic travel and some evenings/weekends/holidays.
Conditions of Employment
- Pre-employment process including criminal background check, drug screening, (credit check for certain positions), and reference verification.