Hiring: Manager - Data Science Company: Caris Life Sciences Location: Tempe, AZ Job Posted Time: 2026-09-03 14:20:59 Target Skills & Keywords : MLOps, Machine Learning, Python, SQL About the job Required Skills: •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. •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 escalate them to Data Science leadership when needed. 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. •Demonstrated capacity 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. •Demonstrated capacity to coordinate competing project priorities and deliver high-quality work in a collaborative environment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!