Job Summary
Startup Inno is seeking an accomplished and strategic Lead Data Scientist – Health Economics & Outcomes Research (HEOR) to spearhead advanced analytics and real-world evidence initiatives across healthcare and life sciences domains. In this leadership role, you will drive the design, development, and execution of data-driven HEOR studies that support value-based healthcare decisions, market access strategies, and health policy insights.
You will work at the intersection of data science, biostatistics, epidemiology, and health economics, collaborating with cross-functional teams including clinical research, medical affairs, product, and commercial stakeholders. This role offers the opportunity to shape how data is used to demonstrate clinical and economic value, improve patient outcomes, and inform strategic decisions at scale.
Key Responsibilities
Lead and manage end-to-end HEOR analytics projects, including study design, data acquisition, modeling, and interpretation.
Develop and validate statistical and machine learning models to assess clinical outcomes, cost-effectiveness, and healthcare utilization.
Design real-world evidence (RWE) studies using claims data, EHRs, registries, and observational datasets.
Translate complex analytical results into actionable business and clinical insights for senior stakeholders.
Mentor and guide junior data scientists and analysts, ensuring best practices in analytics and research methodology.
Partner with product, clinical, and commercial teams to support health technology assessments (HTA) and payer submissions.
Ensure compliance with regulatory and ethical standards related to healthcare data (HIPAA, GDPR, etc.).
Contribute to publications, white papers, and presentations for internal and external audiences.
Required Skills and Qualifications
Masters or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, or a related quantitative field.
Strong programming skills in Python, R, or SAS for statistical modeling and data analysis.
Experience with healthcare datasets such as claims, EHR, EMR, and real-world data platforms.
Proficiency in advanced statistical techniques (regression models, survival analysis, causal inference).
Solid understanding of HEOR methodologies, cost-effectiveness analysis, and health outcomes modeling.
Excellent communication skills with the ability to present technical findings to non-technical stakeholders.
Strong leadership and project management capabilities.
Experience
7+ years of experience in data science, analytics, or biostatistics, with at least 3 years in HEOR or healthcare analytics.
Proven experience leading complex analytics projects in pharma, biotech, health tech, or consulting environments.
Track record of publishing or contributing to peer-reviewed research or industry reports is highly desirable.
Working Hours
Full-time position (40 hours per week).
Flexible working hours with a hybrid or remote work model.
Occasional collaboration across global time zones may be required.
Knowledge, Skills and Abilities
Deep knowledge of healthcare systems, reimbursement models, and payer dynamics.
Strong problem-solving and critical thinking abilities.
Ability to manage ambiguity and work in fast-paced startup environments.
High attention to detail with a strong commitment to data quality and integrity.
Collaborative mindset with strong stakeholder engagement skills.
Benefits
Competitive salary and performance-based bonuses.
Equity or stock options in a high-growth startup.
Comprehensive health and wellness benefits.
Flexible remote work policy and work-life balance initiatives.
Learning and development budget for certifications, courses, and conferences.
Access to cutting-edge healthcare and AI technologies.
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