[Hiring] Senior Research Analyst @Arbor Research Collaborative for Health

Role Description

Please note that depending on your qualifications and experience, we may also consider you for placement at the Senior Research Analyst II level.

Essential Duties and 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.

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

Preferred Qualifications

• Non-profit experience
• Health research background

Requirements

• Entity: Arbor Research Collaborative for Health
• Work Arrangement: Remote
• Location: Must be physically located in one of the following states: Alabama, Colorado, Connecticut, Washington D.C., Florida, Georgia, Idaho, Illinois, Maryland, Massachusetts, Michigan, Minnesota, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, or Virginia
• Fair Labor Standards Act Status: Exempt
• Reports To: Research Scientist or Senior Research Scientist
• Hours Per Week: 40
• Supervises Others: No
• Overnight Travel: Minimal, no more than 5% (this is position dependent)
• Salary Range: $79,200 to $127,400
• Base Compensation is determined by market range and geographic location pay zones. Base Compensation also includes various individual factors unique to each candidate such as job level, prior experience, skill set, certifications, and education, which may impact the compensation structure.