RCRC Biostatistician III

Position Details The Rutgers Contract Research Collaboratory (RCRC), a newly established center within the Rutgers Institute for Translational Medicine & Science (RITMS), is building a premier Contract Research Organization (CRO) dedicated to advancing multi-site clinical trials, observational studies, and translational research. Serving industry, academic, and government sponsors, RCRC integrates expertise in clinical research, biostatistics, data management, project management, and scientific leadership to deliver innovative, high-quality research solutions that accelerate discoveries and improve patient outcomes. What sets RCRC apart is our commitment to building an organization where exceptional professionals are challenged, supported, and empowered to grow while performing meaningful work. We seek individuals who think strategically, collaborate across disciplines, take ownership beyond their defined roles, and continuously improve the systems and teams around them. We value intellectual curiosity, accountability, humility, and excellence. Our Mission: Transform clinical research through dedicated partnerships, efficient execution, and uncompromising quality, driven by deeply engaged teams. Our Vision: To build a contract research organization where exceptional people come together to do their best work, partnering deeply with sponsors to deliver research that is streamlined, thoughtful, and trusted. We envision a model where individuals think beyond their roles, teams are fully engaged, and the organization takes shared ownership of outcomes, challenging convention and continuously improving how research is done. Through this approach, we aim to contribute to a more efficient and accessible research ecosystem, where strong collaboration, sound science, and purposeful execution lead to better outcomes for sponsors, providers, and ultimately, for patients. Posting Summary Rutgers, The State University of New Jersey, is seeking an experienced Biostatistician III within the Rutgers Contract Research Collaboratory (RCRC), part of the Rutgers Institute for Translational Medicine and Science (RITMS). The Biostatistician III position offers the opportunity to collaborate with multidisciplinary investigators, industry sponsors, and regulatory experts while contributing to study design, statistical analysis, regulatory submissions, and scientific publications. The successful candidate will independently execute and coordinate statistical activities for clinical and translational research studies while working under the scientific oversight of a faculty statistician. Serving as the primary day-to-day statistical resource for assigned studies, the individual will collaborate with investigators, sponsors, data managers, and regulatory experts throughout the research lifecycle. Responsibilities Supporting clinical and translational research studies from study design through reporting and publication. Collaborating with investigators, sponsors, clinical study managers, clinical data managers, and regulatory personnel throughout the research lifecycle. Performing statistical analyses and statistical programming using validated software and established methodologies. Contributing to protocol development, statistical analysis planning, sample size determination, and interpretation of study results. Preparing statistical outputs, reports, manuscripts, abstracts, presentations, and other scientific deliverables. Supporting regulatory submissions and ensuring compliance with applicable statistical, scientific, and regulatory standards. Contributing to continuous improvement initiatives and advancement of statistical best practices. Pursuing ongoing professional development and growth within the field of biostatistics. Essential Functions Serves as the primary day-to-day statistical resource for assigned clinical and translational research studies while working under the scientific oversight of a faculty statistician. Independently develops and executes statistical analyses and statistical programming using validated software and established methodologies. Performs data review, quality checks, dataset preparation, and generation of statistical outputs to support study reporting and decision-making. Contributes to protocol development, statistical analysis planning discussions, sample size calculations, and interpretation of study results under the guidance of a faculty statistician. Assists in the preparation and review of protocols, statistical analysis plans, clinical study reports, manuscripts, grant applications, abstracts, and scientific presentations. Collaborate with investigators, clinical study managers, clinical data managers, regulatory personnel, and sponsors throughout the research lifecycle. Ensures statistical activities comply with applicable regulatory requirements, organizational standards, and best practices. Contributes to continuous improvement activities and shares knowledge with colleagues to support team effectiveness and organizational success. Actively pursues professional development opportunities through continued learning, knowledge sharing, participation in research activities, and engagement in teaching, mentoring, or methodological initiatives as appropriate. Job Attributes Job Category: Staff & Executive - Research (Laboratory/Non-Laboratory) Department: Clinical & Translational R FLSA: Exempt Grade: 31S Salary Details Minimum Salary: 81155.000 Mid Range Salary: 97671.000 Maximum Salary: 116172.000 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. Benefits 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 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 Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Master's degree in the field of one of the following: Statistics, Biostatistics, Mathematics, Data Science, Biomedical, Health Sciences, or related quantitative field. Minimum 7 years relevant statistical clinical research experience within a regulatory agency (e.g., FDA), in the pharmaceutical, biotechnology, or CRO industry. Alternatively, academic clinical research experience with some industry/CRO experience. Two (2) years advanced knowledge of both analysis and dataset programming in at least one statistical programming language such as SAS or R is required. Required Knowledge, Skills, and Abilities Candidates must have advanced knowledge in the application of a wide range of basic and advanced statistical techniques and must be able to independently learn and apply new statistical techniques. Demonstrated ability to draft and review scientific documents, including statistical method sections and study reports. Demonstrated ability to independently conduct statistical activities for clinical research studies. Excellent scientific writing and document review skills. Strong organizational skills with the ability to manage multiple projects and priorities. High attention to detail and commitment to quality. Preferred Qualifications Experience supporting Data and Safety Monitoring Boards. Coding using CDISC standards (e.g., creating SDTM, ADaM datasets). Preparation of final TLFs in the Clinical Study Report. Posting Details Posting Number: 26ST1871 Regional Campus: Rutgers Biomedical and Health Sciences (RBHS) Home Location Campus: Downtown New Brunswick City: New Brunswick State: NJ 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. 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 encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: #J-18808-Ljbffr Rutgers University