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Associate Research Scientist

Arbor Research Collaborative for Health
Remote, USA
Full-time
Mid
Remote
USD 79200-127400 yearly / year
Discovered 3 weeks ago

Full Job Posting

Required

PhD in public health, health behavior, health services research, implementation science, sociology, anthropology, psychology, or other social science field or master's degree with relative experience (PhD strongly preferred)

Working knowledge of implementation science theories, models, and frameworks

Experience with qualitative analysis software (e.g., Dedoose, NVivo, ATLAS.ti, MAXQDA)

Demonstrated training and hands-on experience in qualitative methods (interviewing, coding, thematic or content analysis)

Experience developing training curricula, webinars, or technical assistance resources for professional audiences

Demonstrated potential to meaningfully contribute to research projects, as well as securing funding for new projects consistent with the Arbor Research mission

Strong oral and written communication skills

Must be able, willing, and available to travel, including international, with several nights away from home per year

Must possess a valid and active United States Passport to travel internationally

Entity:

Arbor Research LLC.

Department:

Clinical and Epidemiological Studies

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:

Senior Research Scientist

Hours Per Week:

40

Supervises Others:

No

Overnight Travel:

Minimal, no more than 5%

$79,200 - $127,400 (US National Average)

*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.

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