Clinical Effectiveness Research Analyst

Summary

Join Included Health as a Clinical Effectiveness Research Analyst and contribute to improving healthcare services through data analysis. You will leverage your expertise in SQL, data visualization, and statistical modeling to analyze healthcare data, identify areas for improvement, and present findings to clinical partners. This role involves collaborating with various teams, including clinical staff and data scientists, to design and execute analytic studies. You will play a key role in enhancing quality, outcomes, and cost-effectiveness of clinical services. The position requires a Bachelor's degree and 4+ years of experience in healthcare data analysis or a related field. Included Health offers a competitive salary and benefits package, including remote work opportunities.

Requirements

• 4+ 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)
• Proficiency in SQL for querying, joining, and transforming multiple complex healthcare datasets (e.g., claims, Electronic Health Records (EHRs), digital health product utilization data)
• Experience with cloud-based data platforms (e.g., AWS, GCP, or Azure)
• Experience 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
• Experience in the design and execution of analytic studies working closely with clinical and research team members
• Experience translating data findings into relevant insights for non-technical partners
• Capability to remain seated in a stationary position for prolonged periods
• Eye-hand coordination and manual dexterity to operate keyboard, computer and other office-related equipment

Responsibilities

• Develop analytically-ready variables and KPIs by applying SQL-based logic to data from electronic health records (EHR), medical and pharmacy claims, and Included Health product datasets
• Build interactive operational reports across all service lines, including virtual care delivery, expert medical opinions, and virtual care navigation
• Analyze information obtained from multiple sources, conduct and document analyses and evaluation of data, and provide meaningful interpretation of data to a variety of audiences
• Support quality improvement initiatives and service effectiveness analyses through data validation, dataset creation, and descriptive analyses
• 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
• Partner with internal clinical and product teams to support the design and execution of analytic studies
• Use SQL to manipulate and combine healthcare claims, EHR data, and digital health utilization to construct patient subgroups and outcome measures
• Prepare datasets and documentation based on analysis plans, and interpret results in collaboration with academic partners and the Clinical Effectiveness & Research team
• Monitor data and alert leadership and key stakeholders of trends that indicate issues, risks, or opportunities for the business (including operational efficiencies, strategic changes, etc.)
• Manipulate and analyze data in SQL, collaborate with the Clinical Effectiveness and Research teams to scope and define analysis, and partner with other data and analytic teams to validate data interpretation and analytic approaches
• Collaborate with clinician leaders to understand key components of care delivery and desired outcomes to inform the study design and frame the results to the audiences to inform how to improve care delivery
• Support execution of retrospective cohort studies, using comparison groups and statistical analyses, to estimate the impact of clinical services in partnership with clinical service line leaders
• Collaborate with other data and analytic functions across the company to contribute to the core data model, share insights, promote knowledge exchange, and minimize duplication of efforts

Preferred Qualifications

• Master's or Ph.D. preferred
• Familiarity with Python (or R) for statistical modeling and regression analysis
• Familiarity with natural language processing (NLP) for EHR text analysis
• Certification in healthcare data science or informatics (e.g., CHDA, CAHIMS, or related)
• Familiarity with healthcare quality measures and clinical outcomes
• Knowledge of healthcare regulations and standards (e.g., HIPAA, HEDIS, ICD/CPT coding)
• Motivated in contributing to publications or presentations in peer-reviewed journals or conferences
• Experience working with clinicians, data scientists, software engineers, and other partners

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