Senior Health Services Researcher- Remote

** Job Description

Summary:

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* Job Description:

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* The Senior Health Services Researcher is a senior-level researcher responsible for leading rigorous, and policy- and practice-relevant health services research using real-world data, including electronic medical records (EMR/EHR), claims, and workforce data. The role requires strong grounding in biostatistics and epidemiology to ensure rigorous study design, valid inference, and high-quality analysis of real-world clinical data.

This individual will serve as a hands-on analyst and methodological leader, designing and executing advanced quantitative studies that inform primary care delivery, workforce development, and health outcomes in community-based settings, particularly Federally Qualified Health Centers (FQHCs). The role emphasizes applied, implementation-oriented, and health services research that understands clinical systems and outcomes.

** ROLE AND RESPONSIBILITIES*
* ** Methodological Leadership and Data Analysis*
* + Independently lead at least one complex multi-year research and evaluation project.

+ Lead the design and execution of advanced quantitative and mixed-methods studies using EMR/EHR, claims, and other real-world data sources

+ Apply rigorous methods such as causal inference, longitudinal analysis, multilevel modeling, quasi-experimental designs, and machine learning

+ Serve as a hands-on analyst, directly working with large, complex datasets

+ Independently design studies grounded in epidemiologic principles and execute analyses that meet peer-reviewed publication standards

** EMR/EHR & Real-World Data Expertise*
* + Extract, clean, and analyze structured and unstructured data from electronic medical records

+ Partner with clinical and IT teams to understand data architecture, workflows, and data quality limitations for analytical purposes

+ Use EMR data to evaluate care delivery, patient outcomes, and quality improvement initiatives

** Research & Implementation Science*
* + Lead and contribute to implementation and evaluation studies focused on:

+ Primary care delivery models

+ Care coordination and team-based care

+ Workforce development and career pathways

+ Cancer screening and chronic disease management

+ Translate findings into actionable recommendations for health centers and partners

** Funding & Scholarly Leadership*
* + Work closely with multidisciplinary teams including clinicians, data scientists, educators, and external partners

+ Lead or contribute to grant development (federal, foundation, industry)

+ Serve as Principal Investigator or Co-Investigator on funded projects

+ Publish in peer-reviewed journals and present findings to national audiences

** Staff Leadership & Capacity Building*
* + Supervise and mentor Research Scientists, and Research Associates.

+ Provide high-level scientific review and methodological consultation across teams.

+ Develop junior investigators toward increasing independence and funding success.

+ Lead internal learning sessions to strengthen analytic and writing capacity.

+ Contribute to recruitment and talent development within the research team.

+ Contribute to building a strong, methodologically rigorous research culture.

** External Engagement & Institutional Representation*
* + Serve as scientific contact for major funders and national collaborators.

+ Represent Weitzman Institute in national advisory and research networks.

+ Strengthen relationships with federal agencies (e.g., HRSA, NIH, CDC), foundations, academic institutions, and corporate partners.

+ Ensure compliance with complex reporting requirements and performance metrics.

** QUALIFICATIONS*
* Required Education

+ Doctoral degree (PhD, ScD, DrPH, or equivalent) in public health, epidemiology, health services research, health policy, implementation science, or related field

OR

+ Masters degree with at least 7 years of research experience commensurate with other requirements.

** Required Experience*
* + Minimum 3 years of progressively responsible research experience.

+ Sustained peer-reviewed publication record with evidence of scholarly impact.

+ Demonstrated experience working with electronic medical record (EMR/EHR) data

+ Strong track record of hands-on data analysis using large, complex datasets

+ Experience working in or with primary care settings, preferably FQHCs or safety-net systems

** Required Skills*
* + Strong foundation in biostatistics and epidemiology, including study design, bias, confounding, and causal inference

+ Advanced proficiency in statistical software (Python, SAS, Stata, R, or equivalent)

+ Demonstrated ability to apply statistical and epidemiologic methods to real-world healthcare data, including EMR/EHR and claims

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Experience with :

+ Data cleaning and transformation of EMR/EHR data

+ Statistical modeling and causal inference methods

+ Machine learning and/or natural language processing (preferred)

+ Familiarity with healthcare data standards (e.g., ICD, CPT, LOINC)

** Preferred Qualifications*
* + Established professional network in primary care or…