Senior Clinical Effectiveness Researcher

Job Summary:The Senior Clinical Effectiveness Researcher leads healthcare data analyses that identify opportunities to improve or iterate clinical services, with the goal of enhancing quality, outcomes, and costs. You will ensure the accuracy and quality of data through validation processes, develop data models, select/implement appropriate measures, construct comparison groups, and perform advanced statistical analyses, such as regression modeling. Reporting to the Senior Director of Clinical Effectiveness & Research, and working in partnership with Clinical Affairs, Clinical Quality & Safety, and clinical service line leaders - you will play an important role in advancing our commitment to delivering exceptional care.

Responsibilities:

• You will 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.
• You will 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.
• You will 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.
• You will prepare datasets and documentation based on the analysis plan, and interpret results in collaboration with academic partners and the Clinical Effectiveness & Research team.
• You will 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.
• You will 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.
• You will 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.
• You will drive retrospective cohort studies, using comparison groups and statistical analyses, to estimate the impact of clinical services in partnership with clinical service line leaders.
• You will lead data explorations to understand why or why not the clinical service had the hypothesized impact to inform clinical quality improvement initiatives.
• You will partner with academic institutions and internal clinical and product teams to design and execute research studies for peer-reviewed publications and presentations.

Qualifications:

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