Remote Senior Research Analyst - Health Data & Policy

Arbor Research Collaborative for Health; Boston (MA); Remote; USD 79,000 - 127,000; Full time

Job summary

Arbor Research Collaborative for Health is seeking a Senior Research Analyst to design analytical approaches, run SAS analyses, and mentor junior analysts from a remote setting. The position emphasizes collaboration with lead investigators and the production of high-quality medical and statistical research outputs.

Ideal candidates hold a Master’s or PhD in a quantitative field, have 4+ years of statistical programming experience (SAS preferred), and can communicate findings to diverse audiences

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

survival analysis

mentoring

communication

team collaboration

Education

Master’s degree or PhD in Statistics/Biostatistics/Epidemiology/Public Health/Public Policy

Tools

SAS

Microsoft Office

Job description

Arbor Research Collaborative for Health is seeking a Senior Research Analyst to design analytical approaches, run SAS analyses, and mentor junior analysts from a remote setting. The position emphasizes collaboration with lead investigators and the production of high-quality medical and statistical research outputs.

Ideal candidates hold a Master’s or PhD in a quantitative field, have 4+ years of statistical programming experience (SAS preferred), and can communicate findings to diverse audiences