Data Analyst

Job Category: Staff & Executive - Research (Laboratory/Non-Laboratory)Department: The Institute for Nicotine and Tobacco StudiesOverview:The Rutgers Institute for Nicotine and Tobacco Studies (formerly Rutgers Center for Tobacco Studies) is one of the nation’s leading tobacco-focused research centers. The Institute’s efforts are focused on their mission of reducing and ultimately eliminating tobacco-related morbidity and mortality.Posting Summary:Rutgers is seeking a Data Analyst for the Institute for Nicotine and Tobacco Studies, located in New Brunswick, NJ. Under the direction of the leadership of the Office of Survey Methods and Data Analysis (SMDA), the Data Analyst will support the scientific work of investigators at the Rutgers Institute for Nicotine and Tobacco Studies (INTS) by implementing data analysis protocols for research projects. The ideal candidate will have expertise in analyzing complex survey data and a background working with national health surveys, such as the National Health Interview Survey (NHIS), the Tobacco Use Supplement to the Current Population Survey (TUS-CPS), and similar surveillance systems.Duties include:Conduct statistical analyses to identify trends and patterns of tobacco use and related behaviors.Under supervision of the Associate Director/Chief of SMDA, select appropriate methods to analyze and interpret complex survey data from national health surveys.Create data visualizations to present findings in conference presentations, journal articles, and to other stakeholders.Ensure data quality and integrity through rigorous data management practices.Develop codebooks based on INTS data in accordance with established practices at INTS.Required Knowledge, Skills, and Abilities:Master’s Degree in Epidemiology, Biostatistics, Public Health, or related sciences plus one (1) year related experience analyzing complex survey data.High level of computer literacy including Microsoft Office Suite and data querying tools.Intermediate or greater proficiency with at least one statistical package, preferably R (R, SAS, STATA, etc.).Experience analyzing cross-sectional and longitudinal survey data, working with national and state health surveys, and using generalized linear models and related methods.Experience using mixed effects models to analyze clustered data preferred, but not required. Familiarity with tobacco use epidemiology and related public health issues.Ability to learn and integrate other related computer applications into existing operations.Excellent project management, time management, communication, interpersonal, decision-making, analytic, and reporting skills.Ability to work with a wide range of individuals with diverse backgrounds and perspectives on data usage including faculty, staff, and senior administrators, as well as individuals at other institutions and government offices.Position Status: Full TimeHours Per Week: 37.50Daily Work Shift: DayFLSA: ExemptGrade: 26SAnnual Minimum Salary: $73,161.00Annual Mid Range Salary: $87,905.00Annual Maximum Salary: $104,450.00Standard Hours: 37.50Union Description: HPAE 5094Posting Number: 24ST2204Regional Campus: Rutgers Biomedical and Health Sciences (RBHS)Home Location Campus: Downtown New BrunswickCity: New BrunswickState: NJPre-employment Screenings: All offers of employment are contingent upon successful completion of all pre-employment screenings.Immunization Requirements: Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption.Affirmative Action/Equal Employment Opportunity Statement: It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

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