Research Scientist- Remote
Job Description Summary:
Job Description:
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 65% 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 62 complex research or evaluation projects annually.
• Apply 62 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 62 manuscripts annually, drafting all major sections with minimal guidance.
• Contribute substantive feedback to 63 co-authored manuscripts annually.
• Lead 62 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 64 funding opportunities annually aligned with research priorities.
• Contribute 30% content to 62 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. OR
• 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
[Types any additional notes if needed]
Confidentiality of Information
Confidentiality of business information is a requirement.
Job Description:
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 65% 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 62 complex research or evaluation projects annually.
• Apply 62 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 62 manuscripts annually, drafting all major sections with minimal guidance.
• Contribute substantive feedback to 63 co-authored manuscripts annually.
• Lead 62 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 64 funding opportunities annually aligned with research priorities.
• Contribute 30% content to 62 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. OR
• 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
[Types any additional notes if needed]
Confidentiality of Information
Confidentiality of business information is a requirement.