Research Scientist - Mixed Methods in Public Health

Brown University

Providence (RI)

Hybrid

USD 90,000 - 130,000

Full time

4 days ago
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Job summary

Brown University in Providence, RI seeks a Research Scientist to advance mixed-methods research within the SQuAD Research Core. The role designs and executes qualitative and quantitative studies, collaborates with principal investigators, and disseminates results through presentations and publications.

Hybrid eligible fixed-term through Oct 31, 2027, with potential extensions. A doctoral degree and 4–6 years of relevant experience, plus proficiency in a statistical programming language, are

Qualifications

  • Doctoral Degree with 4–6 years of qualitative and mixed methods experience.
  • Experience leading qualitative data collection (interviews, focus groups) and surveys.
  • Proficiency in at least one statistical programming language (R, Python, Stata or SAS).
  • Strong written and verbal communication with collaborative skills.

Responsibilities

  • Design, formulate, and execute qualitative and mixed-methods research protocols.
  • Provide consultative services in data collection and analytic methods.
  • Analyze data using exploratory, regression-based, and advanced models.
  • Disseminate findings through presentations and publications for faculty grants.
  • Support SQuAD and Advance RI-CTR-N initiatives and collaborations.

Skills

Qualitative research
Mixed methods
Data analysis
Statistical programming
Communication skills
Collaboration

Education

Doctoral Degree

Tools

R
Python
Stata
SAS

Job description

Brown University in Providence, RI seeks a Research Scientist to advance mixed-methods research within the SQuAD Research Core. The role designs and executes qualitative and quantitative studies, collaborates with principal investigators, and disseminates results through presentations and publications.

Hybrid eligible fixed-term through Oct 31, 2027, with potential extensions. A doctoral degree and 4–6 years of relevant experience, plus proficiency in a statistical programming language, are

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