Biostatistician Full-time

Job Category Staff & Executive - Research Support (Laboratory/Non-Laboratory)

Department RWJ - Psychiatry Genomics Psyc

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; 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.

Rutgers, The State University of New Jersey, is seeking a Biostatistician for the department of Psychiatry at the Robert Wood Johnson Medical School.

Under the supervision of the Director, Biostatistician provides biostatistical and data management support for research projects. Biostatistician will be responsible for data analysis and visualization for scientific publications and grant proposals, the development and maintenance of data management protocols for research studies, and related research tasks.

Performs statistical consultation and data analysis and interprets results under the supervision of the Director to support epidemiological research on alcohol and drug use disorders and related conditions.

Develops, implements, and maintains data management protocols in the R and SAS computing environments (and other statistical software depending on project needs) to clean, manage, and merge multimodal data for the design and analysis of longitudinal, genetically informative studies.

Assists with the preparation of data documentation and data archiving, consistent with requirements of funders.

Participates in the design of electronic data capture forms to collect data.

Participates in the validation and assurance of the data quality process.

Participates in the application of appropriate statistical methodology in designing studies and analyzing data.

The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

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

Life insurance coverage

Position Status Full Time

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

PeopleSoft

Position Pension Eligibility

Master’s Degree in Statistics, Biostatistics or a related field, plus three (3) years of relevant experience involving the design and analysis of epidemiological data in academia, government, or industry setting. D. in Statistics, Biostatistics or a related field.

Expertise in R and experience analyzing New Jersey Integrated Population Health (iPHD) data necessary.

Office environment. Rutgers Biomedical and Health Sciences (RBHS)

Downtown New Brunswick

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.

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. For additional information please see the Non-Discrimination Statement at the following web address:

D. in Statistics, Biostatistics or a related field, plus three years of relevant experience involving the design and analysis of epidemiological data in academia, government, or industry setting.

Required Documents

Optional Documents

Cover Letter/Letter of Application

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