Research Scientist- Remote

Job Description Summary:

The Senior Research is an early-career investigator responsible for leading applied research and evaluation projects using real-world data, with a strong emphasis on electronic medical records (EMR/EHR) and claims data.

This role requires deep technical expertise in clinical and administrative data and clinical processes, especially at community health centers. The individual will serve as a hands‑on analyst, working closely with a Senior Health Services Researcher to execute high‑quality studies that inform primary care delivery, workforce development, and patient outcomes in community‑based settings, particularly Federally Qualified Health Centers (FQHCs).

The position emphasizes applied, implementation‑oriented research, with a focus on translating complex data into actionable insights for clinical and operational decision-making.

ROLE AND RESPONSIBILITIES

Clinical & Claims Data Analysis

• Serve as a hands‑on analyst on multiple projects using EMR/EHR and claims data.
• Extract, clean, transform, and analyze structured and unstructured clinical and administrative data.
• Apply advanced statistical and epidemiologic methods, including:
• Longitudinal analysis
• Multilevel modeling
• Regression and quasi‑experimental designs
• Ensure high data quality, maintaining ≥95% accuracy in data preparation, documentation, and analytic outputs.
• Develop reproducible analytic workflows using tools such as Python, R, SAS, or equivalent.

Research Execution

• Lead major components of ≥2 complex research or evaluation projects annually.
• Apply ≥2 distinct research methodologies annually (e.g., quantitative, mixed methods, implementation evaluation).
• Conduct analyses that meet standards for peer‑reviewed publication.
• Collaborate closely with senior researchers to design studies grounded in epidemiologic principles.
• Contribute to interpretation of findings within clinical and operational contexts.

EMR/EHR & Healthcare Data Expertise

• Work with clinical and IT teams to understand data architecture, workflows, and limitations of EMR/EHR and claims data.
• Use real‑world data to evaluate:
  • Care delivery processes
  • Patient outcomes
  • Quality improvement initiatives
• Demonstrate familiarity with healthcare data standards (e.g., ICD, CPT, LOINC).

Research Writing & Dissemination

• Serve as first author on ≥2 manuscripts annually, drafting all major sections with minimal guidance.
• Contribute substantive feedback to ≥3 co‑authored manuscripts annually.
• Lead ≥2 research reports or presentations annually for internal or external audiences.
• Present findings at ≥1 national or professional conference annually.
• Translate analytic findings into clear, actionable insights for non‑technical audiences.

Proposal Development & Partnerships

• Lead at least 1 small proposal annually (e.g., pilot, seed funding, or letter of intent).
• Identify 2–4 funding opportunities annually aligned with research priorities.
• Contribute ≥30% content to ≥2 complex proposals annually.
• Initiate or support at least 1 external partnership annually.

Project & Operational Management

• Support development and management of project budgets under guidance of senior staff.
• Allocate resources effectively across analytic tasks and project timelines.
• Identify and mitigate risks related to data quality, timelines, and deliverables.
• Ensure compliance with ethical guidelines, IRB requirements, and data governance standards.
• Maintain strict confidentiality and appropriate handling of sensitive clinical data.

Team Collaboration & Support

• Collaborate with multidisciplinary teams including clinicians, analysts, educators, and external partners.
• Provide guidance to Research Associates on analytic tasks and data management.
• Contribute to a strong, methodologically rigorous, and collaborative research culture.

QUALIFICATIONS

Required Education

• Masters degree with at least 5 years of research experience commensurate with other requirements.
• Doctoral degree (PhD, ScD, DrPH, or equivalent) in public health, epidemiology, health services research, health policy, implementation science, or related field.

Required Experience

• Strong track record of hands‑on data analysis using large, complex datasets.
• Experience in applied research in healthcare settings, preferably primary care or safety‑net environments.
• Experience supporting or leading peer‑reviewed publications.

Required Skills

• Advanced proficiency in statistical software (SAS, Stata, R, or equivalent).
• Experience with:
  • Statistical modeling and causal inference methods
  • Familiarity with healthcare data standards (e.g., ICD, CPT, LOINC)
• Advanced proficiency in at least one: Python, R, or SAS.
• Ability to work independently while collaborating effectively with senior researchers.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience working with FQHCs or safety‑net healthcare systems.
• Familiarity with implementation science or health services research.
• Experience with machine learning or natural language processing.
• Experience contributing to grant proposals.

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT

Remote with occasional travel to healthcare sites, meetings, and conferences.

Confidentiality of Information

Confidentiality of business information is a requirement. Confidentiality must be maintained according to CHC policies.

Time Type: Full time

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