
Senior Data Science Advisor
Posted Sep 15

Posted Sep 15
This is a fully remote position, open to applicants in Connecticut.
• Oversee intricate analytics initiatives centered on pharmacy, clinical conditions, health outcomes, and comprehensive care cost strategies.
• Develop and implement program evaluations, outcomes research studies, opportunity analyses, matched case-control studies, and various advanced analytical methods.
• Examine extensive healthcare claims datasets to uncover trends, opportunities, and actionable insights.
• Collaborate with clinical, product, finance, and business stakeholders to establish objectives, methodologies, and strategic recommendations.
• Deliver analytical findings and recommendations to both technical and non-technical groups, including senior leadership.
• Manage multiple projects concurrently while overseeing scope, timelines, deliverables, and stakeholder expectations.
• Guide junior analysts and data scientists through technical mentorship and work-product evaluations.
• Discover opportunities to automate reporting, enhance analytical efficiency, and create scalable analytics frameworks and solutions.
• A minimum of 5 years of experience in healthcare analytics, clinical outcomes research, pharmacy analytics, data science, or a related discipline.
• Extensive experience with healthcare claims data, encompassing both medical and pharmacy claims.
• Advanced skills in SQL.
• Familiarity with analytics tools such as Databricks, Python, R, or equivalent technologies.
• Proven track record of leading complex analytical projects and influencing stakeholders across a matrixed organization.
• Experience in study design, program evaluation, causal inference methods, and/or health outcomes research.
• Excellent communication and presentation abilities, with the capacity to convey technical concepts to non-technical audiences.
• Experience in mentoring analysts and contributing to technical best practices is preferred.
• A Bachelor's degree in Statistics, Data Science, Epidemiology, Economics, Public Health, Mathematics, or a related quantitative discipline is required; an advanced degree is preferred.
• If working remotely, a cable broadband or fiber optic internet service with a minimum of 10 Mbps download and 5 Mbps upload speed is necessary.
• Applicants must meet all applicable work authorization and employment eligibility criteria.
• Eligibility for an annual bonus plan.
• Medical, vision, and dental benefits commencing on day one.
• Access to well-being and behavioral health programs.
• 401(k) plan.
• Company-sponsored life insurance.
• Tuition reimbursement opportunities.
• A minimum of 18 days of paid time off annually.
• Paid holidays.
• Leaves of absence.
• Flexible remote work arrangements.
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