Data Analyst
Role Overview
The Data Analyst works with investigators and research team members on data analysis tasks for studies focused on alcohol use, drug use, and health.
Work includes clinical-trial data on alcohol and drug treatments, medical-record data, and other substance-use and health datasets.
The research is supported by federal grants from the National Institutes of Health and other sources.
Key Skills for This Role
Full Job Posting
Role overview
The Data Analyst works with investigators and research team members on data analysis tasks for studies focused on alcohol use, drug use, and health.
Work includes clinical-trial data on alcohol and drug treatments, medical-record data, and other substance-use and health datasets.
The research is supported by federal grants from the National Institutes of Health and other sources.
Responsibilities
- Prepare datasets and supporting documentation for statistical analysis; develop checks for data validity and analysis results.
- Conduct descriptive and multivariable analyses and modeling with the principal investigator and the team’s PhD-level biostatistician.
- Analyze clinical, medical-record, and observational data from grant-funded studies of substance use and health outcomes.
- Collaborate with staff and faculty to interpret results and prepare data summaries in tables, figures, and charts.
- Write code in R, SAS, or similar programs for data preparation, management, analysis, and reporting visuals.
- Meet with investigators, prepare presentations, and draft methods and results sections for peer-reviewed manuscripts as a co-author.
Minimum qualifications
- Bachelor’s degree in a related field plus three years of data design and analysis experience in academia, government, or industry; equivalent education, experience, and/or training may substitute for the degree requirement.
- Proficiency with Microsoft Office, especially Excel and Word; ability to program, manage data, and conduct statistical analyses.
- Demonstrated data management and data-preparation experience; solid grounding in statistical theory and application.
- Excellent written and verbal communication, including report writing and technical documentation; ability to work in a team.
- Organization, autonomy, multitasking, and recordkeeping ability; willingness to learn and apply new methods.
Preferred qualifications
- Master’s degree preferred.
- Familiarity with REDCap or Qualtrics and experience with survey, medical-record, clinical-trial outcome, and/or administrative claims data preferred.
- Machine-learning and natural-language-processing skills are preferred but not required.
- Experience working with processes and technologies for large datasets preferred.
Work arrangement
- The position may be eligible for a hybrid work arrangement, subject to approval and change or discontinuation under Rutgers policy.
Compensation
- Listed minimum salary is $74,332; mid-range is $89,311; maximum is $106,121. Final offer may depend on qualifications, experience, expertise, and available department or grant funds.
Position details
- Position status is full time, with 37.5 standard weekly hours and a 12-month staff appointment.
- The work environment is an office; no significant physical demands are listed, with lifting or exerting force up to 25 pounds.
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