Recruitment/Posting Title Senior Scientist Research Computing - Data Scientist (Biomedical and Clinical Informatics) Job Category Staff & Executive - Information Technology Department Office of Advanced Research Computing Overview As part of a larger team of research scientists, the incumbent will support the Rutgers University biomedical research community, as well as other research disciplines, in their research computing and data related research. In partnership with the research community and other biomedical and clinical informatics specialists, the successful candidate will manage and analyze data being created in molecular and cellular biology, genomics and biomedicine through the use of existing data science and machine learning tools as well as engineer new toolsets that include models, algorithms, and software developed in-house. Reporting to the Director of Research Support, under the Associate Vice President for Advanced Research Computing, the Senior Scientist engages in local outreach on the Rutgers campuses (Rutgers Biomedical and Health Sciences, New Brunswick, Newark and Camden) to identify potential new users of research computing and data resources. The incumbent works closely with faculty, post-doctoral associates, students, and research staff to understand their research to allow for the customization of workflows, training, and support, and has an opportunity to grow a biomedical and clinical informatics team based on demand for biomedical and clinical informatics services. Posting Summary Rutgers, the State University of New Jersey is seeking a Senior Scientist (Biomedical and Clinical Informatics) – Data Scientist for the Office of Advanced Research Computing (OARC).

Among the key duties of this position are the following: Participate in development of new biomedical and clinical informatics research and support model, potentially leading to creation of a core facility and/or center of excellence. Lead and contribute to the design and implementation of experiments in clinical research, collaborating with multidisciplinary teams to plan data acquisition strategies. Provide advanced computing and data (biomedical and clinical informatics) support Rutgers faculty and students, but also to the broader community, in their computational research by assisting with conceptual and practical realization of the research goals using local, regional, and/or national advanced computational resources. Utilize analytical models and advanced statistical methods to analyze complex clinical datasets, deriving meaningful insights and identifying patterns or correlations. Develop and implement data visualization techniques to effectively communicate findings and facilitate understanding among stakeholders. Gain knowledge of other biomedical and clinical informatics activities and support within Rutgers University and facilitate their involvement in research projects that may require their area of specialty. Provide education, outreach and training to the university community. Develop and coordinate instructor-based training focused on advanced computing. Participate in professional development activities (e.g., training, conferences, etc.), advance personal knowledge in computational science, and develop individual research projects. Present at national meetings. Develop and expand internal and external partnerships, including industry, to promote advanced computing related collaborations, positioning Rutgers University as a leader in research and technologies. Leads large scale data processing and computational pipeline/tool development in assigned areas, including mentoring of new scientists, graduate students and other technical staff. Take a leading role in the selection and optimization of research infrastructure, ensuring it meets the needs of clinical research data analysis and storage, including computing systems, software, data transfer nodes, software defined networking, and compliant protected environments for medical research that requires access to PHI, EMR, or other forms of sensitive data (HIPAA, FISMA, NIST 800-171). Position Status Full Time Hours Per Week Daily Work Shift Work Arrangement Consistent with the current application of Rutgers Policy 60.3.22, this position may be eligible for a hybrid work arrangement. The flexible work arrangements outlined in Rutgers Policy 60.3.22 are part of a pilot program that is effective September 1, 2022 through August 31, 2024. Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date. Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https://futureofwork.rutgers.edu. FLSA Exempt Grade 35S Position Salary Annual Minimum Salary 109283.00 Annual Mid Range Salary 132134.00 Annual Maximum Salary 157610.00 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 http://uhr.rutgers.edu/benefits/benefits-overview.



Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP