Vice President - Data Science
Caris Life Sciences
9 hours ago
On-site
Tempe, AZ
IT
Position Summary
The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives.
Job Responsibilities
- Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
- Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
- Oversee development of AI signatures 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 teams to ensure appropriate validation and evidence generation.
- Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
- Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
- Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
- Lead development of clinically interpretable reporting frameworks for physicians.
- Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
- Build, mentor, and lead data science/computational biology teams; set goals, budgets, roadmaps, OKRs, and performance metrics.
Required Qualifications & Skills
- PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or related field.
- 10+ years building supervised/unsupervised ML models; expert in Python (pandas, NumPy, ML/stat libraries) and SQL.
- Strong ML, statistical modeling, and large-scale biomedical data analysis; multi-omic and clinical dataset experience.
- Working knowledge of regulatory considerations for clinical diagnostics algorithm development; people leadership/management.
- Excellent verbal/written communication; Microsoft Office (Word/Excel/Outlook/PowerPoint).
- Onsite role based in Phoenix, AZ with regular in-person presence.
Preferred Qualifications
- Experience in regulated CAP/CLIA environments.
- Cloud computing platform and large-scale data infrastructure familiarity.
- Experience translating analytics into physician-facing clinical products.
The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives.
Job Responsibilities
- Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
- Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
- Oversee development of AI signatures 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 teams to ensure appropriate validation and evidence generation.
- Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
- Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
- Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
- Lead development of clinically interpretable reporting frameworks for physicians.
- Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
- Build, mentor, and lead data science/computational biology teams; set goals, budgets, roadmaps, OKRs, and performance metrics.
Required Qualifications & Skills
- PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or related field.
- 10+ years building supervised/unsupervised ML models; expert in Python (pandas, NumPy, ML/stat libraries) and SQL.
- Strong ML, statistical modeling, and large-scale biomedical data analysis; multi-omic and clinical dataset experience.
- Working knowledge of regulatory considerations for clinical diagnostics algorithm development; people leadership/management.
- Excellent verbal/written communication; Microsoft Office (Word/Excel/Outlook/PowerPoint).
- Onsite role based in Phoenix, AZ with regular in-person presence.
Preferred Qualifications
- Experience in regulated CAP/CLIA environments.
- Cloud computing platform and large-scale data infrastructure familiarity.
- Experience translating analytics into physician-facing clinical products.