Remote Principal Health Data Scientist

Openkrill; United States; Hybrid; USD 150,000 - 190,000; Full time

Job summary

Inovalon is seeking a Principal Health Data Scientist to lead advanced analytics on large healthcare datasets. You will work cross-functionally with researchers, clinicians, and business analysts to deliver actionable insights and scalable data solutions.

This remote/hybrid role requires 8+ years in healthcare data, a Master’s in a quantitative field, and strong SQL and modeling expertise. You will mentor teammates and influence strategic directions while addressing evolving business needs.

Qualifications

• 8+ years of professional experience in healthcare with admin claims data and big data.
• Master’s degree in CS, ML, applied mathematics, econometrics, statistics, engineering, physics, or related discipline, or equivalent.
• Advanced expertise in programming, analytics, statistics, and analytical modeling for complex healthcare data use cases.
• Strong experience working with administrative claims data, EMR, registry data, and large-scale data environments.
• Advanced proficiency in SQL for data extraction, transformation, management, and ad hoc querying.
• Demonstrated ability to document source code, algorithms, and methods for reuse, quality, and scalability.
• Ability to learn new datasets, tools, and business domains quickly, expand scope, and apply new knowledge to improve performance.
• Ability to influence cross-functional partners, mentor less experienced team members, and communicate persuasively on complex topics across disciplines.
• Ability to adapt effectively to changing priorities, new assignments, ambiguity, and evolving business needs while staying focused on results.
• Ability to generate practical, creative solutions to strategic business problems and improve data processes through innovative thinking.
• Strong analytical skills, including evaluating variable factors, drawing evidence-based conclusions, and selecting appropriate methods for complex issues.
• Experience evaluating data analytics vendors and tools.

Responsibilities

• Lead advanced programming, analytics, and statistical work to generate insight from large administrative claims datasets, EMR, and registry data.
• Develop and apply complex modeling, statistical analyses, and hypothesis testing to address key strategic business problems and support research and product offerings.
• Use SQL to perform advanced data extraction, transformation, and data management, and maintain well-documented libraries of source code and algorithms for future use.
• Communicate analytical findings clearly and precisely to internal stakeholders and external clients, translating complex results into actionable recommendations.
• Respond to and lead highly complex operational data requests, including ad hoc queries that support research projects and client deliverables.
• Provide quality control, quality assurance, and project review support, including solution-oriented guidance and cross-functional mentoring across project teams.
• Partner with Enterprise Data Management, Data Integration, MORE2 Registry®, and iPORT+™ teams to identify, understand, and resolve data issues and improve process efficiency, productivity, and scalability.
• Troubleshoot complex production-related issues and coordinate effective resolution across teams.
• Assist in evaluating data analytics vendors and tools to support team and business needs.
• Uphold responsibilities related to separation of duties, applicable processes, and procedures within your job function.

Skills

8+ years experience

SQL proficiency

Advanced analytics

Healthcare data

Programming

Mentoring

Education

Master’s degree

Job description

Inovalon is seeking a Principal Health Data Scientist to lead advanced analytics on large healthcare datasets. You will work cross-functionally with researchers, clinicians, and business analysts to deliver actionable insights and scalable data solutions.

This remote/hybrid role requires 8+ years in healthcare data, a Master’s in a quantitative field, and strong SQL and modeling expertise. You will mentor teammates and influence strategic directions while addressing evolving business needs.