Senior Health Data Scientist

Position Overview

Inovalon is on a mission to empower the healthcare ecosystem through data-driven solutions that improve outcomes and economics. As part of our united team serving millions of patients, the Senior Health Data Scientist will lead complex data extracts, programming, and analytical modeling initiatives. This role, based in Tampa, FL on a hybrid schedule (in-office two days per week), supports our internal and external clients while mentoring junior staff.

Key Responsibilities

• Serve as lead collaborating with health services researchers and business analysts to derive insights from large administrative claims, electronic medical records, and various healthcare datasets.
• Identify and develop solutions for strategic business challenges using advanced modeling and statistical analysis techniques.
• Utilize SQL for advanced data extraction, transformation, and data management, while documenting and managing a library of source code and algorithms.
• Develop and test hypotheses to support research and product offerings, communicating clear and actionable findings to clients.
• Lead the resolution of highly complex operational data requests, troubleshoot production issues, and collaborate with various teams to enhance data processes.
• Assist with evaluating data analytic vendors and tools, ensuring compliance with Inovalon’s policies and confidentiality/HIPAA requirements.

Required Qualifications

• 5+ years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data.
• Strong SQL programming skills with hands-on experience in SAS, R, SPSS, Stata, MatLab or similar statistical analysis tools.
• Proven problem solving, analytical reasoning, and decision-making skills, with experience addressing data complexities.
• Skilled in business analytics, process flows, design principles, and managing multiple projects with competing priorities.
• Understanding of database management tools such as Hadoop, Hive, or MapReduce.
• Excellent written and verbal communication skills for both technical and non-technical audiences.
• Ability to work independently in a fast-paced, multidisciplinary environment and manage challenging client situations.
• Advanced understanding of healthcare, health policy, pharmaceutical, and related issues.
• Education: Master’s degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or a related discipline; or equivalent combination of education and experience.

Benefits & Perks

• Base Compensation Range: $113,000–$140,000 USD
• Potential eligibility for performance-based incentives in addition to base compensation.
• A valuable benefits package that may include health insurance, life insurance, company-paid disability, 401k, 18+ days paid time off, and more.
• A hybrid work schedule based out of our Tampa, FL office (in-office at least two days per week).