Research Analyst I (Mixed Methods)

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 closely with scientific investigators and analysts to carry out mixed methods of research and evaluation approaches that combine qualitative and quantitative methods.
• Conduct qualitative primary data collection, including semi-structured interviews and focus groups (typically virtual) with patients, health care providers, and other health care stakeholders.
• Code and analyze qualitative data in software programs such as MAXQDA, Dedoose, and NVivo.
• Conduct statistical analyses of survey, administrative and other secondary data, including descriptive and subgroup analyses and comparisons of program outcomes, using software such as R, Stata or SAS.
• Design, administer and analyze surveys, and assemble and maintain analytic datasets that link program records with external data sources to support ongoing monitoring and evaluation.
• Gather and synthesize existing information on health and health care topics through environmental scans and literature reviews.
• Participate in stakeholder engagement activities, such as listening sessions.
• Work effectively on interdisciplinary teams with both internal staff and external partners including clinicians, biostatisticians, epidemiologists, qualitative researchers, health economists, project managers, programmers and others, as necessary.
• Assist with and/or co-author reports, manuscripts, conference posters, and other written materials to disseminate research and evaluation findings.
• Attend meetings, conference calls, and conferences, as needed.
• Contribute to research proposals, when requested.

• Health research background
• Familiarity with the organization and programs of health and health care agencies at federal (e.g., HRSA, NIH, CMS, AHRQ, CDC) and state levels
• Experience working in a healthcare setting
• Fluency in Spanish
• Proficiency in responsible use of Artificial Intelligence (AI), such as Claude, for research purposes

• Master’s degree in public health or related field such medical anthropology, epidemiology, biostatistics, economics, public policy, social work, or equivalent combination of education and experience
• At least 1-year professional qualitative experience and/or coursework
• Experience conducting qualitative research and using qualitative software such as MAXQDA, Dedoose, or NVivo
• Experience conducting statistical analysis and familiarity with statistical software such as R, Stata, SAS
• Experience developing and executing surveys using a survey software program such as Qualtrics or Alchemer
• Professional oral/written communication skills
• Proficiency in Microsoft Office applications
• Must possess and maintain proper documentation in order to undergo commercial airfare travel such as Real ID or United States Passport or Passport Card, or another acceptable form of documentation.

Arbor Research LLC.

Clinical and Epidemiological Studies

Remote

Must be physically located in one of the following states:

* Georgia, Maryland, Massachusetts, Michigan, North Carolina

Exempt

Senior Research Scientist

40

No

Up to 5% domestic travel

$57,600 – $90,600

*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.