Senior Clinical Effectiveness Researcher

Summary

Join Included Health as a Senior Clinical Effectiveness Researcher and lead healthcare data analyses to improve clinical services, enhancing quality, outcomes, and costs. You will ensure data accuracy, develop data models, perform advanced statistical analyses, and collaborate with various teams. This role involves working independently on quantitative analyses, using SQL and Python for data manipulation, and partnering with academic institutions. You will design data-informed quality improvement initiatives and translate complex data findings into actionable insights. The position requires extensive experience in healthcare data analysis and advanced statistical techniques. Included Health offers a competitive salary and comprehensive benefits package.

Requirements

• 8+ years of experience in healthcare data analysis, clinical research, or a related field
• Bachelor's degree in a relevant field (e.g., Data Science, Actuarial Sciences, Mathematics, Biostatistics, Health Informatics, Computer Science), Master's or Ph.D. preferred
• Expert proficiency in SQL for querying and transforming complex healthcare datasets (e.g., claims, Electronic Health Records (EHRs), digital health product utilization data)
• Experience using Python (or R) for statistical modeling, regression analysis, and machine learning
• Experience with cloud-based data platforms (e.g., AWS, GCP, or Azure)
• Strong background in developing and validating comparison groups
• Experience with advanced statistical techniques (e.g., propensity score matching, multivariate regression)
• Familiarity using data visualization tools (e.g., Tableau, Power BI, or Python visualization libraries like Matplotlib/Seaborn)
• Experience with version control systems like GitHub, GitLab, or Bitbucket for collaborative development and code management
• Deep understanding and experience working with healthcare data structures, including claims and EHRs
• Familiarity with healthcare quality measures, risk adjustment models, and clinical outcomes
• Knowledge of healthcare regulations and standards (e.g., HIPAA, HEDIS, ICD/CPT coding)
• Experience supporting the design, execution, or interpretation of clinical research studies in collaboration with clinical and research teams
• Experience translating complex data findings into relevant insights for non-technical partners
• Experience working with clinicians, data scientists, software engineers, and other partners

Responsibilities

• Be independently responsible for the entire spectrum of activities required to conduct quantitative analyses — identifying available data, coding study sample inclusion and exclusion criteria, independently building analytical datasets, and conducting statistical analyses to understand effectiveness of clinical services, including virtual care delivery, expert medical opinions, and virtual care navigation
• Inspect data to understand and communicate the strengths and identify any anomalies or limitations that impact the ability to accurately measure the outcomes of a given service
• Use SQL to manipulate and combine healthcare claims, EHR data, and digital health utilization to construct study samples and outcome measures. And, where available, reference existing research to inform outcome definitions
• Prepare datasets and documentation based on the analysis plan, and interpret results in collaboration with academic partners and the Clinical Effectiveness & Research team
• Manipulate and analyze data in SQL and Python, collaborate with the Clinical Effectiveness and Research team to scope and define analysis, and partner with other data and analytic teams to validate data interpretation and analytic approaches
• Work with the Clinical Excellence team, including the Safety and Quality team, to design data-informed quality improvement initiatives, monitor the implementation, and ultimately, measure the impact of the initiative
• Collaborate with clinician leaders to understand key components of care delivery and desired outcomes to inform the study design and frame the results appropriately for stakeholders
• Drive retrospective cohort studies, using comparison groups and statistical analyses, to estimate the impact of clinical services in partnership with clinical service line leaders
• Lead data explorations to understand why or why not the clinical service had the hypothesized impact to inform clinical quality improvement initiatives
• Partner with academic institutions and internal clinical and product teams to design and execute research studies for peer-reviewed publications and presentations

Preferred Qualifications

• Certification in healthcare data science or informatics (e.g., CHDA, CAHIMS, or related)
• Familiarity using Generative AI tools to analyze complex healthcare data or automate insights

Benefits

• Remote-first culture
• 401(k) savings plan through Fidelity
• Comprehensive medical, vision, and dental coverage through multiple medical plan options (including disability insurance)
• Paid Time Off ("PTO") and Discretionary Time Off ("DTO")
• 12 weeks of 100% Paid Parental leave
• Family Building & Compassionate Leave: Fertility coverage, $25,000 for surrogacy/adoption, and paid leave for failed treatments, adoption or pregnancies
• Work-From-Home reimbursement to support team collaboration home office work