Vice President - Data Science
Caris Life Sciences
August 16, 2026
On-site
Tempe, AZ
IT
Position Summary
The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, including development of novel AI signatures using Caris’ large-scale clinico-genomic database to identify molecular characteristics that are prognostic of outcomes or predictive of response to therapy.
Job Responsibilities
- Define and execute strategy for AI-driven clinical insight and molecular signature development across molecular profiling platforms.
- Identify clinically relevant questions for prognostic/predictive insights.
- Oversee AI signature development integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
- Establish governance and standards for model development, validation, documentation, and lifecycle management.
- Collaborate with Regulatory and Clinical Development for validation and evidence generation.
- Lead implementation of AI products in a regulated CAP/CLIA clinical environment.
- Oversee engineering/production deployment of AI pipelines in clinical reporting infrastructure.
- Ensure scalable, reproducible, auditable pipelines and canonical data models.
- Lead development of clinically interpretable physician reporting frameworks.
- Partner with Product and Commercial teams to integrate AI insights into clinical reports/decision-support tools.
- Build, mentor, and lead data science/computational biology teams.
- Set goals, budgets, roadmaps, OKRs, and performance metrics.
- Champion scientific rigor, accountability, transparency, and continuous improvement.
Required Qualifications
- PhD in Data Science/Biostatistics/Computer Science/Biomedical Engineering (or related).
- 10+ years building supervised/unsupervised ML models.
- Expert Python (pandas, NumPy, statistical/ML libraries) and SQL.
- ML, statistical modeling, large-scale biomedical data analysis.
- Multi-omic experience (genomics, transcriptomics, proteomics).
- Experience with large clinical datasets for biomarker discovery/predictive modeling/outcomes research.
- Knowledge of regulatory considerations for clinical diagnostics algorithms.
- People leadership/direct management with accountability.
- Excellent verbal and written communication.
- Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint).
- Onsite role in Phoenix, AZ with regular in-person presence.
Preferred Qualifications
- Experience in regulated clinical laboratory environments (CAP/CLIA).
- Familiarity with cloud computing and large-scale data infrastructures.
- Experience translating analytics into physician-facing clinical products.
Other
- May require occasional after-hours work and travel.
Physical Demands
- Ability to sit/stand and work at a computer for extended periods.
The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, including development of novel AI signatures using Caris’ large-scale clinico-genomic database to identify molecular characteristics that are prognostic of outcomes or predictive of response to therapy.
Job Responsibilities
- Define and execute strategy for AI-driven clinical insight and molecular signature development across molecular profiling platforms.
- Identify clinically relevant questions for prognostic/predictive insights.
- Oversee AI signature development integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
- Establish governance and standards for model development, validation, documentation, and lifecycle management.
- Collaborate with Regulatory and Clinical Development for validation and evidence generation.
- Lead implementation of AI products in a regulated CAP/CLIA clinical environment.
- Oversee engineering/production deployment of AI pipelines in clinical reporting infrastructure.
- Ensure scalable, reproducible, auditable pipelines and canonical data models.
- Lead development of clinically interpretable physician reporting frameworks.
- Partner with Product and Commercial teams to integrate AI insights into clinical reports/decision-support tools.
- Build, mentor, and lead data science/computational biology teams.
- Set goals, budgets, roadmaps, OKRs, and performance metrics.
- Champion scientific rigor, accountability, transparency, and continuous improvement.
Required Qualifications
- PhD in Data Science/Biostatistics/Computer Science/Biomedical Engineering (or related).
- 10+ years building supervised/unsupervised ML models.
- Expert Python (pandas, NumPy, statistical/ML libraries) and SQL.
- ML, statistical modeling, large-scale biomedical data analysis.
- Multi-omic experience (genomics, transcriptomics, proteomics).
- Experience with large clinical datasets for biomarker discovery/predictive modeling/outcomes research.
- Knowledge of regulatory considerations for clinical diagnostics algorithms.
- People leadership/direct management with accountability.
- Excellent verbal and written communication.
- Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint).
- Onsite role in Phoenix, AZ with regular in-person presence.
Preferred Qualifications
- Experience in regulated clinical laboratory environments (CAP/CLIA).
- Familiarity with cloud computing and large-scale data infrastructures.
- Experience translating analytics into physician-facing clinical products.
Other
- May require occasional after-hours work and travel.
Physical Demands
- Ability to sit/stand and work at a computer for extended periods.