Postdoctoral Research Associate-2
Listed on 2026-08-21
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Research/Development
Research Scientist, Clinical Research, Public Health, Data Scientist -
Healthcare
Clinical Research, Public Health, Data Scientist
Texas A&M University Health Science Center
Center for Community Health & Aging
Commensurate
College Station, Texas
Staff
Job Description Our CommitmentTexas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents& lived experiences. Embracing varying opinions and perspectives strengthens ourcore values which are:
Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service. ****
As one of the fastest-growing academic health centers in the nation,Texas A&M Health encompasses five colleges andnumerouscenters and institutes working together to improve health through transformative education, innovativeresearchand team-based health care delivery.
What we wantThe Postdoctoral Research Associate works with a research team of several research grants/contracts within the public health field. Works with researchers to manage community programs, develop and monitor research protocols, analyze data, prepare reports and presentations, and disseminate information to a national audience through peer-reviewed publications and conference presentations.
What you need to know- Salary:
Will be commensurate based on the selected hire’s education and experience. - Location/
Schedule:
College Station, TX/Full-Time
- Designs data collection tools (reporting systems, surveys, etc.), research program management, and reporting protocols
- Conducts collection and analysis of data, particularly utilizing Qualtrics and or Red Cap survey software/programming and statistical packages, and keeping the detailed data secure and recorded
- Assists research team in designing, planning, and conducting project evaluations
- Performs other duties as assigned
- Examines and summarizes research project results
- Prepares and writes project reports and deliverables
- Summarizes results for scientific and clientele-oriented publications
Education and Experience
- Appropriate PhD in public health related field (e.g. health education, health services research, health sciences, health behavior, epidemiology)
- Familiarity with public interventions across the life-course, especially with youth
- Familiarity with implementation research
- Ability to be day-to-day program lead for an observational or intervention study
- Two years of related experience in data analysis and/or management
- Documented experience in manuscript preparation, submission, and acceptance in peer-reviewed journals
- Ability to work in a fast‑paced and accountable environment
- Ability to work independently and guide all analytic aspects of project work
- Ability to provide support to lead scientists throughout the project life cycle
- Ability to support drafting materials for project related content as well as internal research
- Ability to summarize research findings and identify key information of interest.
- Ability to provide support about study design, database, and statistical methodology
- Ability to prepare reports (including peer‑review publications) and presentations of data and analyses
- Database design for clinical research and cohort studies
- Programming/coding proficiency in statistical software
- Savvy importing/exporting data between various systems/platforms
- Experience working with individuals and communities.
- Has knowledge and expertise in public health interventions with experience in social, behavioral, technological, or environmental programs, policies, or practices including:
- Ability to conceptualize, implement, and evaluate research protocols for public health studies in real world community, clinical, or corporate settings.
- Possesses project management skills (e.g., previously conducting and coordinating public health related research)
- Possesses statistical skills, publication skills and health-related field knowledge.
- Ability to write scientific papers and reports including data collection and data analysis
- Proficiency using SAS, SPSS, R, and/or STATA statistical software
- Ability to analyze and interpret various forms of cross-sectional, longitudinal, and health-related data
- F…
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