Research Scientist

The Research Scientist at the School of Public Health is a staff position in research administration responsible for execution of research under the direction of one or more principal investigators.  The incumbent will devise, formulate, and execute investigative protocols and disseminate findings through presentations and publications.  The incumbent will also provide consultative services in the area of qualitative and quantitative data collection and analytic methods.

With this Research Scientist position, we seek an individual with mixed methods and analytic skills to support faculty-directed grants and contracts. In particular, we seek individuals with research skills and experience involving patient, client and community-focused approaches, including qualitative methods (e.g., individual interviews and focus groups), survey design and development, qualitative data collection in clinic and community settings, medical record review and extraction, and/or participatory research. In addition, we seek candidates with quantitative skills to support applied data analyses.  This includes exploratory data analysis, regression-based approaches to cross-sectional and longitudinal data analysis and advanced statistical models (e.g., latent class analysis).   

The position will be within the School of Public Health Survey, Qualitative, and Applied Data (SQuAD) Research Core. The mission of SQuAD is to advance survey and qualitative research and data analysis by providing expert services, conducting methodological studies in public health and medicine, and offering training in survey design, qualitative and quantitative data collection, and analysis to support clinical and behavioral research locally and beyond. In addition, SQuAD provides consultative services for Advance Rhode Island Clinical and Translational Research Network (Advance RI-CTR-N), a federally funded program to support biomedical and public health researchers across the state.

This position is hybrid eligible.

All offers of employment are contingent upon successful completion of a background check and education verification.

This is a fixed-term position with a current end date of October 31, 2027 which may be extended based on the availability of grant funding.

Doctoral Degree and 4-6 years’ experience or equivalent combination of education and experience in qualitative and mixed methods.

• Experience in qualitative and mixed methods
• Proficiency and demonstrated experience in qualitative research and quasi-experiential designs.
• Proficiency in open science framework, including topics such as the need for registration of pre-analysis plans.
• Expertise in at least one (1) statistical programming language (i.e., R, Python, Stata, SAS, or similar).
• Strong communication skills, in both written and verbal formats, and including under short deadlines.
• Strong interpersonal skills, including the ability to develop and maintain relationships with a diverse range of partnerships
• Excellent technical skills
• Must understand the purpose for and reactions constituting the experiments being performed.
• Ability to independently carry out experiments and deviate from protocols when necessary
• Willingness to take instruction and training in specific techniques
• Must be observant and self-motivated, able to think critically and problem solve. 
• The position requires highly developed time management skills

The designated Position Work Location for each position determines the approved modality of work. Positions are classified based on the operational and business needs of the department and may be designated as on-site, hybrid, or remote.

Employees with a designated position work location as remote must reside and perform their work in a state where Brown University is registered to do business. Brown University is a registered employer in the following states: Rhode Island, California, Colorado, Connecticut, Florida, Maryland, Massachusetts, New York, New Hampshire, New Jersey, North Carolina, Washington, D.C.

Please note that to be considered for a staff position at Brown University, you must submit a separate application for each position you wish to be considered for. Applications are reviewed only for the specific position to which they are submitted and are not automatically considered for future openings.  

This position is not eligible for visa sponsorship.

If you have any questions you may contact employment@brown.edu.

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.