Senior Research Analyst

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

Job summary

Arbor Research Collaborative for Health is seeking a Senior Research Analyst level candidate, with a strong background in statistics and epidemiology, to support health policy research and analysis.

The role involves designing analytical approaches, mentoring junior analysts, and presenting findings to diverse audiences. A Master’s or PhD and at least 4 years of experience with SAS are preferred, with remote work options and a base in Idaho.

Qualifications

• Master’s degree or PhD in a quantitative field.
• Progressively responsible statistical programming experience.
• 4+ years of professional experience with statistical software, SAS preferred.

Responsibilities

• Coordinate research development with lead investigators.
• Design analytical approaches for research questions.
• Maintain accuracy and documentation standards (e.g., checks, code reviews).
• Prepare medical and statistical research papers and presentations.
• Mentor junior analysts and lead subprojects with minimal supervision.

Skills

Statistical programming

Mentoring

Communication

Project leadership

Education

Master’s degree or PhD in statistics/biostatistics/epidemiology/economics/public health/public policy

4+ years professional statistical programming experience

Tools

SAS

Microsoft Office

Job description

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

Our Core Values

Our core values define who we are as an organization and serve as the foundation of our code of ethics. Arbor Research expects all employees to embody and demonstrate in our day-to-day work.

• Collaborative Spirit: We expect each staff member to learn from and teach one another and ask each to exhibit curiosity and respect for the contributions of others.
• Creativity: We strive to cultivate a challenging, stimulating, and supportive environment where our employees are expected to be inquisitive, take the initiative, and demonstrate ingenuity.
• Credibility: Our employees are smart, thoughtful, and objective in their work. We expect them to be technically solid in their area of expertise and for those researching to demonstrate scientific rigor.
• Dedication: Our team achieves success because of our dedication to carrying out high-quality work and delivering trusted results.

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

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, o r 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.