Remote Senior Research Analyst — Health Data & Policy

Arbor Research Collaborative for Health; Alabama; Remote; USD 79,000 - 127,000; Full time

Job summary

Arbor Research Collaborative for Health is seeking a Senior Research Analyst II or higher to support epidemiologic and health policy research from a remote location. The role involves coordinating research development, designing analytical approaches, mentoring junior analysts, and presenting results to diverse audiences, including sponsors and policymakers.

The candidate should hold a Master’s or PhD in a quantitative field, have 4+ years of statistical programming experience (SAS preferred),

Qualifications

• Master’s degree or PhD in quantitative field (Statistics, Biostatistics, Epidemiology, Economics, Public Health, Public Policy, etc.)
• Demonstrated history of progressively more responsible statistical programming experience
• At least 4 years professional experience with statistical software, SAS preferred (i.e., conducting survival analysis)
• Excellent understanding of statistical concepts and substantial knowledge in analytical approaches for health care
• Strong oral/written communication skills with a wide variety of audiences, including sponsors and policy makers
• Strong mentoring skills possibly including supervisory or teaching experience
• Demonstrated Arbor Research project/contract expertise
• Ability to run/lead subprojects with little to no intervention
• Contributions to field of health services research, biostatistics, or epidemiology; demonstrated by a combination of peer-reviewed publications and written reports
• Proficiency in Microsoft Office applications

Responsibilities

• Work with the lead investigators as needed, to coordinate research development and to ensure completion of assignments in a timely manner.
• Contribute significantly to the design of analytical approaches for specific research questions.
• Consistently adhere to strategies and utilize tools in place to ensure accuracy, programming, and documentation standards (e.g., analytical checklist, code reviews, etc.), while displaying a professional and exemplary work and research ethic in both attitude and accomplishment.
• Successfully and independently accomplish a wide variety of analytical requests, including writing papers for journals, performing simple quick-turnaround data requests for funding sources and the public, and perform analyses for investigators or committees.
• Prepare medical and statistical research papers and presentations in support of epidemiologic and health policy research.
• Assist authors with preparing tables and figures for inclusion in various written materials.
• Present results clearly in public forums to biostatisticians and non-biostatisticians (including clinicians) and represent Arbor Research in these presentations.
• Attend committee meetings, conference calls, and national/international conferences.
• Contribute to the writing and production of proposals for new projects.
• Develop SAS code for completing analyses and verify accuracy of coding.
• Provide significant mentoring to junior analysts to help understand and implement statistical analyses. Help in choosing or developing methodological approaches to requested analyses.
• Mentor junior Research Analysts and work with them to contribute to project objectives effectively and productively.
• Lead analytic approaches while consulting with Principal Investigators.
• Demonstrate a great desire to improve skills/knowledge.
• Demonstrated ability to work with external investigators.

Skills

Statistical programming

SAS

Biostatistics

Epidemiology

Communication

Mentoring

Education

Master’s degree

PhD in Biostatistics

Tools

SAS

Microsoft Office

Job description

Arbor Research Collaborative for Health is seeking a Senior Research Analyst II or higher to support epidemiologic and health policy research from a remote location. The role involves coordinating research development, designing analytical approaches, mentoring junior analysts, and presenting results to diverse audiences, including sponsors and policymakers.

The candidate should hold a Master’s or PhD in a quantitative field, have 4+ years of statistical programming experience (SAS preferred),