Manager - Data Science

Caris MPI, Inc.; Phoenix (AZ); On-site; USD 150,000 - 210,000; Full time

Job summary

Caris Life Sciences seeks a data science manager to lead a team of data scientists, guiding analytical planning from concept through validated delivery. You’ll translate complex biomedical questions into actionable projects and ensure rigor and reproducibility.

Collaborating across Engineering, Product, and Commercial teams, you will mentor colleagues, shape project priorities, and communicate methods and results clearly to technical and non-technical stakeholders.

Qualifications

• PhD in data science, statistics, biostatistics, CS, computational biology, bioinformatics, or related field.
• 5+ years leading biomedical data science projects.
• Advanced Python and working SQL proficiency.
• Strong foundation in statistical modeling, ML, visualization, and interpretation.
• Experience analyzing large biomedical datasets (genomic, proteomic, clinical, multimodal).
• Ability to mentor data scientists and ensure quality.

Responsibilities

• Lead and mentor an assigned team of data scientists.
• Own data science projects from planning to delivery.
• Develop project plans with timelines and success criteria.
• Translate scientific, clinical, product, and commercial questions into analytical approaches.
• Apply standards for reproducibility, validation, documentation, and code quality.
• Review analytical methods, code, validation results, and model artifacts.
• Coordinate cross-functional work with Engineering, Product, Commercial, and more.
• Identify priority or resource conflicts and escalate when needed.
• Communicate methods, progress, and results to stakeholders.
• Evaluate advances in data science and ML for project use.
• Improve delivery practices for quality and throughput.

Skills

Python

SQL

Statistical modeling

Machine learning

Data visualization

Scientific communication

Education

PhD in data science, statistics, biostatistics, computer science, computational biology, bioinformatics, or related field

Job description

Position Summary

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That is 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.

The Manager works within priorities and practices established by Data Science leadership and partners closely with scientific, technical, product, and commercial teams.

Job Responsibilities

• Manage and mentor an assigned team of data scientists, including coordinating day-to-day priorities and supporting professional development.
• Own assigned data science projects and major workstreams from analytical planning through validation and delivery.
• Develop project plans and coordinate reviews, dependencies, handoffs, timelines, and success criteria.
• Translate scientific, clinical, product, and commercial questions into appropriate analytical approaches and deliverables.
• Apply and reinforce established standards for reproducibility, validation, documentation, code quality, and statistical and machine-learning analyses.
• Review analytical methods, code, validation results, and model artifacts for scientific rigor and quality.
• Facilitate analytical vetting with computational biology, bioinformatics, translational science, clinical subject‑matter experts, and other scientific partners.
• Coordinate cross‑functional work with Engineering, Product, Commercial, Business Development, Clinical Decision Support, and related teams.
• Identify project‑level priority or resource conflicts and escalated to Data Science leadership when needed.
• Communicate analytical methods, limitations, progress, and results to technical and non‑technical stakeholders.
• Evaluate relevant advances in data science, statistics, and machine learning for use within assigned projects.
• Improve team‑level delivery practices to increase quality, throughput, predictability, and partner trust.

Required Qualifications

• PhD in data science, statistics, biostatistics, computer science, computational biology, bioinformatics, or a related quantitative field.
• Five or more years of relevant experience, including project, team, or people leadership in biomedical data science.
• Demonstrated experience leading data science projects from problem definition through validated delivery.
• Advanced proficiency in Python and working proficiency in SQL.
• Strong foundation in statistical modeling, machine learning, data visualization, and scientific interpretation.
• Experience analyzing large, complex biomedical datasets, such as genomic, proteomic, clinical, or other multimodal data.
• Experience developing reproducible analytical workflows with appropriate validation, documentation, and quality controls.
• Ability to review technical work and mentor data scientists.
• Strong written and verbal communication skills, including the ability to explain nuanced technical material to varied audiences.
• Ability to coordinate competing project priorities and deliver high-quality work in a collaborative environment.

Preferred Qualifications

• Experience in oncology, precision medicine, or immunology.
• Experience integrating multimodal molecular and clinical data.
• Experience developing molecular signatures, derived data assets, research deliverables, data products, or clinical decision support analyses.
• Experience in an industry or customer‑facing environment.
• Experience with cloud computing or high‑performance computing.
• Familiarity with production machine‑learning or MLOps practices.
• Experience developing agentic AI applications or workflows, including agent orchestration, tool integration, evaluation, and human oversight.

Physical Demands

Ability to work at a computer for extended periods.

Training

Job-specific, safety, and compliance training will be assigned based on the responsibilities of the position. Occasional travel may be required. Occasional evening or weekend work may be required.

Conditions of Employment

Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.

This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Caris Life Sciences is a leading innovator in molecular science and artificial intelligence focused on fulfilling the promise of precision medicine through quality and innovation. Caris is committed to quality and excellence at our state‑of‑the‑art laboratories. Learn more about our tissue lab and the advanced technologies that are helping improve the lives of cancer patients.