[Remote] Senior Director, Clinical Data Science

Note: The job is a remote job and is open to candidates in USA. Health Net Health Plan of Oregon, Inc. is transforming the health of communities for 28 million members. The Senior Director of Clinical Data Science leads the strategy and development of advanced analytics and machine learning models to enhance clinical decision-making across the organization.

Responsibilities

• Lead the enterprise strategy for clinical data science, including predictive modeling, machine learning innovation, and causal evaluation of clinical programs
• Develop and deploy advanced models that identify, stratify, and prioritize members for clinical and care management interventions
• Oversee development of models for high-risk and rising-risk identification, avoidable utilization, chronic condition progression, and care management prioritization
• Advance the organization’s AI capabilities by applying modern machine learning approaches, including deep learning and transformer-based models, to large healthcare datasets
• Lead rigorous evaluation of clinical programs using causal inference and quasi-experimental methods such as treatment effect modeling, propensity score matching, and difference-in-differences
• Establish analytic frameworks to quantify clinical outcomes, cost savings, and ROI from care management and other intervention programs
• Partner with clinical, operational, actuarial, and analytics leaders to translate business and clinical priorities into scalable data science solutions
• Ensure models are embedded into operational workflows and aligned with care management capacity, intervention types, and clinical priorities
• Establish standards for model governance, monitoring, and performance management to ensure regulatory compliance, fairness, and responsible AI practices
• Build, lead, and mentor a high-performing team of data scientists
• Performs other duties as assigned
• Complies with all policies and standards

Skills

• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
• Bachelor's Degree in a quantitative discipline such as Statistics, Biostatistics, Informatics, Mathematics, Computer Science, Public Health, or Economics or four (4) years of experience in lieu of degree
• 8+ years years of data analysis, statistics or related experience
• Deep experience developing and deploying predictive models using large healthcare datasets, including claims and/or electronic health record data
• Strong expertise in statistical modeling, machine learning, and causal inference methods used to evaluate program effectiveness (e.g., treatment effect modeling, propensity score matching, quasi-experimental methods)
• Experience evaluating care management, population health, or value-based care programs
• Strong programming and data science toolkit including Python, R, SQL, and modern development practices (e.g., Git-based version control)
• Proven leadership, stakeholder management, and executive communication skills, with the ability to influence clinical, operational, and financial leaders
• Experience applying modern machine learning techniques, including deep learning or transformer-based approaches, to healthcare or large-scale data problems strongly preferred
• Demonstrated success translating advanced analytics into operational workflows and measurable clinical and financial outcomes strongly preferred
• Master's Degree preferred
• Experience applying modern machine learning techniques, including deep learning or transformer-based approaches, to healthcare or large-scale data problems strongly preferred
• Demonstrated success translating advanced analytics into operational workflows and measurable clinical and financial outcomes strongly preferred

Benefits

• Competitive benefits including a fresh perspective on workplace flexibility
• Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules
• Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status
• Total compensation may also include additional forms of incentives
• Benefits may be subject to program eligibility

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