Data Analyst
Rutgers University - new brunswick, NJ
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Position Details Position Information Recruitment/Posting Title Data Analyst Job Category Staff & Executive - Research Support (Laboratory/Non-Laboratory) Department RWJ-Pediatrics-General Pediatrics Overview New Jersey's academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University-New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers. Our clinical and academic facilities are located throughout the state-at Rutgers University-New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark's University Hospital in Newark, and other affiliates. Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives. Posting Summary Rutgers, The State University of New Jersey, is seeking a Data Analyst for the department of Pediatrics at the Robert Wood Johnson Medical School. The Data Analyst will support faculty within the Joint Program in Population and Prevention Sciences (J3PS) - a joint program of the Department of Pediatrics and the Child Health Institute of NJ. In this role the analyst will support cutting edge, collaborative research in the areas of systemic influences of health (e.g. social determinants of health, health system impacts, forces related to equity and disparities) and related to the practice and individual or population practices and impacts of primary care, respectively. He/she will perform analyses independently and in collaboration with faculty and postdoctoral fellows, support faculty and postdoctoral fellow research, and may have the opportunity to propose and to conduct independent studies of interest to program directors, faculty, and fellows. He/she will also develop and curate a data corps of publicly available data under the direction of program leadership. Among the key duties of this position are the following: Work with project leadership and others as needed to develop valid and reliable plans for analyses consistent with underlying conceptual and operational models and the study design. Collaborate, develop, and suggest epidemiological and statistical analyses supporting faculty research projects. Implement these analyses once agreed up. Develop and run statistically advanced programs in SAS, STATA, and R as appropriate for the research question and project. Collaborate as necessary with biostatisticians, epidemiologists, other analysts, and other methodologists in keeping with the needs and intentions of each project. As necessary, work across disciplines to lead and perform quantitative components of mixed methods and evaluation projects. Work with multiple Primary Investigators (PIs) and advance projects simultaneously. Effectively multitask across multiple projects. Position Status Full Time Hours Per Week Daily Work Shift Day 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 FlexWork@RU Application System. FLSA Exempt Grade 26S Position Salary Annual Minimum Salary 73161.00 Annual Mid Range Salary 87905.00 Annual Maximum Salary 104450.00 Standard Hours 37.50 Union Description HPAE 5094 Payroll Designation PeopleSoft Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience The applicant must have a Master's Degree in public health, biostatistics, epidemiology, social science methods, clinical investigation, or other related field plus 3 years of relevant experience. Experience in an academic medical center environment. Equivalent education, experience and/or training may be substituted for the degree requirement. Certifications/Licenses Required Knowledge, Skills, and Abilities Computer literacy including experience using statistical analysis software, and data entry management experience. The ideal candidate will possess expertise beyond statistical programming to include demography, sociological methods. Outstanding human relations and leadership skills, and the ability to function independently as a dependable team member in a team environment. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Ability to meet deadlines and handle several projects at once in a fast-paced environment. Excellent communications skills and be willing to work closely with both clinical and research faculty. It is expected that this individual keep abreast of new technologies and computer methods going forward. Preferred Qualifications SAS skills. Other programs of interest include Stata and R. Prior work experience as a data analyst or statistical programmer, quantitative epidemiologist or similar role, preferably in public health, biostatistics, epidemiology or similar environment, preferably in an academic or quasi-academic setting. Equipment Utilized Physical Demands and Work Environment Physical Demands: Standing, sitting, walking, talking, or hearing. No special vision requirements. Work Environment: Moderate noise (examples: business office with computers and printers, light traffic). This position is considered on site, however opportunities for hybrid in person / remote work may be permissible in accordance with Rutgers/RBHS policies. Special Conditions Posting Details Posting Number 24ST1820 Posting Open Date Special Instructions to Applicants Regional Campus Rutgers Biomedical and Health Sciences (RBHS) Home Location Campus Downtown New Brunswick City New Brunswick State NJ Location Details Pre-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. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. 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. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address:
Created: 2024-11-05