Data Analyst
Rutgers Biomedical and Health Sciences
Data Analyst
Rutgers, The State University of New Jersey, is seeking a Data Analyst for the department of Psychiatry at the Robert Wood Johnson Medical School. The Data Analyst works with investigators and other research team members to carry out a range of data analysis tasks for several studies focused on alcohol use, drug use, and health. These include management and analysis of clinical trial data on studies of alcohol and drug treatments, analysis of medical record data, and analysis of other datasets of substance use and health variables. This position requires data management expertise and statistical analysis skills and experience. The position also requires writing statistical analysis and methods sections of manuscripts that will be submitted for publication. The lab is funded by federal grants from the National Institute of Health and other sources.
Among the key duties of this position are the following:
- Prepares datasets and provides supporting documentation for statistical analysis.
- Devises tests and processes to evaluate data validity and analysis results.
- Employing appropriate data management and methodological techniques given the data structure and specific research and questions.
- Executes appropriate modeling and statistical analyses in collaboration with project principal investigator and team's PhD-level biostatistician, including descriptive and multivariable statistical analyses.
- Performs analyses using clinical, medical record, and observational data from several grant-funded studies of alcohol/drug use and health outcomes.
- Collaborates with other staff and faculty members to evaluate and interpret research findings. Prepares data summaries in tables, figures, and charts.
- Writes code in programs such as R, SAS, or similar programs for data preparation, management, analytic file creation, statistical analysis, and to generate graphs and tables for manuscript reporting.
- Attends regular meetings with project investigators to discuss progress and preparing presentations of study findings, including drafting of methods and results sections for peer-review manuscripts (as co-author) with involvement of study investigators.
FLSA - Exempt
Grade - 26S
Salary Details
Minimum Salary - 74332.000
Mid Range Salary - 89311.000
Maximum Salary - 106121.000
Benefits - Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs
Position Status - Full Time
Working Hours
Standard Hours - 37.50
Daily Work Shift
Work Arrangement - Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, are subject to change or discontinuation, and contingent on the employee receiving approval in the View email address on click.appcast.io Application System.
Union Description - HPAE 5094
Payroll Designation - PeopleSoft
Seniority Unit
Terms of Appointment - Staff - 12 month
Position Pension Eligibility - ABP
Qualifications
Minimum Education and Experience - Bachelor's Degree in a related field plus three (3) years of experience in the area of design and analysis of data in academia, government, or industrial setting. Equivalent education, experience, and/or training may be substituted for the degree requirements.
Certifications/Licenses
Required Knowledge, Skills, and Abilities - Proficiency with Microsoft Office, especially Excel and Word. Highly motivated, organized, autonomous person with excellent multi-tasking ability and recordkeeping, Must be able to program, manage data, and conduct statistical analyses. Must have demonstrated data management skills and experience preparing data for analysis. Must have a solid grounding in statistical theory and application, and willingness to learn and apply new methods and approaches. Excellent communication skills, both written and verbal, including writing/editing/producing reports and technical writing skills for documenting database structure and content. Experience working with a team and ability to thrive in a team environment.
Preferred Qualifications - A Master's degree is preferred. Familiarity with database systems such as REDCAP or Qualtrics. Experience working with survey data, medical record data, clinical trials outcome data, and/or administrative claims data. Skills and knowledge in machine-learning and natural language processing is preferred but not required. Proven ability to work with the processes and technologies of large datasets.
Equipment Utilized
Physical Demands and Work Environment - Physical Demands: No Significant physical demands. Lift or exert force up to 25 pounds. Work Environment: Office environment; Moderate noise.
Special Conditions
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