Rutgers University

Recruitment/Posting Title Senior Scientist Research Computing - Data Engineer (

Job Category Staff & Executive - Information Technology

Department Office of Advanced Research Computing

Overview

OARC is a large and diverse team working to create an outstanding environment for research computing at Rutgers. A key part of OARC’s responsibility to the University is to ensure that we are seeking and supporting the best solutions for constantly evolving computational research challenges. Doing that effectively requires us to carefully address the needs of the community we serve and to ensure that our support networks are diverse, inclusive, and equitable. Diversity is welcome and encouraged here because it fuels innovation and ensures exploration of the broadest range of possible solutions to research problems. Inclusivity and respect for all points of view empower the decision making and policy development that are the framework of a productive research support organization. Prioritizing equity ensures access to resources needed to support the ideas, initiatives, and efforts of all contributors to our research support operations. Above all, we value our team members and their unique capabilities, interests, and experiences that, in concert, form OARC’s mission and vision.

Posting Summary

Rutgers, the State University of New Jersey is seeking a Senior Scientist (Biomedical and Clinical Informatics) for the Office of Advanced Research Computing (OARC).

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.

Among the key duties of this position are the following:

• Participates 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.
• Develops and maintains data pipelines to facilitate the smooth flow and collection of clinical research data, integrating various sources for comprehensive analysis. Utilize expertise in data wrangling techniques to clean, transform, and prepare raw data for analysis, ensuring data quality and consistency.
• Gains 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.
• Provides education, outreach and training to the university community. Develop and coordinate instructor-based training focused on advanced computing.
• Optimizes data systems for performance, ensuring efficient storage, retrieval, and staging of data for analysis and reporting purposes.
• Collaborates closely with Enterprise Infrastructure (EI) teams to align data engineering efforts with broader infrastructure strategies and capabilities.
• Participates in professional development activities (e.g., training, conferences, etc.), advance personal knowledge in computational science, and develop individual research projects. Present at national meetings.
• Develops and expand internal and external partnerships, including industry, to promote advanced computing-related collaborations, positioning Rutgers University as a leader in research and technologies.
• Assists with the implementation of OARC data science resources, 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).

FLSA Exempt

Grade 35S

Salary Details

Minimum Salary 109283.00

Mid Range Salary 132134.00

Maximum Salary 157610.00

Offer Information

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

Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:

• 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
• Life insurance coverage
• Employee discounts programs

For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.

Position Status Full Time

Working Hours (per week)

Standard Hours 37.50

Daily Work Shift

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.

Union Description HPAE 5094

Payroll Designation PeopleSoft

Seniority Unit

Terms of Appointment Staff - 12 month

Position Pension Eligibility ABP

Minimum Education and Experience

• Master’s degree required.
• Equivalent education, experience and/or training may be substituted for the degree requirements.
• A minimum of six (6) years experience supporting computationally intensive and/or data intensive research projects or equivalent work.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

• Strong verbal and written communication skills.
• Enjoy working in a dynamic and flexible team environment and have a positive attitude.
• Able to work with minimal supervision and demonstrate a history of self-motivation.
• Proven experience in data pipeline building, optimization, and data system architecture within a healthcare or clinical research environment.
• Expertise in data wrangling techniques, ETL (Extract, Transform, Load) processes, and staging data for analysis.
• Proficiency in programming languages (e.g., Python, SQL, Java, etc.) and experience with database technologies (e.g., SQL Server, PostgreSQL, etc.).
• Demonstrate deep knowledge of statistical methods and will demonstrate practical knowledge of machine learning model building and deployment.
• Experience working with Enterprise Infrastructure teams to align data engineering efforts with broader infrastructure strategies is preferred.
• Knowledgeable of research processes and language in biological or medical fields and be able to effectively communicate and support researchers in these domains with technological and methodological expertise.

Preferred Qualifications

• A Ph.D. in a related field.
• Knowledge of the EPIC electronic medical records system and the EPIC Cognitive Computing Platform (ECCP) as well as the OMOP common data model.
• Understanding of how advanced research computing technologies are used to enable scientific discovery.
• Familiarity with data-intensive computing environments
• Experience applying advanced software tools and computing technologies in a dynamic and diverse research setting.
• Experience with cloud-based data technologies and distributed computing frameworks (e.g., AWS, Azure, Hadoop, Spark, etc.) is advantageous.
• Understanding user requirements and translating those requirements into functional and dependable solutions, working with scientific programming languages and troubleshooting skills.
• Experience with statistical tools like SAS, Stata, and SPSS.
• Knowledge of HPC systems.

Equipment Utilized

Physical Demands and Work Environment

• Standing, sitting, walking, talking or hearing.
• Visual acuity to perform activities such as: viewing a computer terminal, reading, analyzing written information/data, etc.
• Office environment.
• Moderate Noise.

Special Conditions

Posting Number 25ST1019

Posting Open Date 05/07/2025

Special Instructions to Applicants

Regional Campus Rutgers Biomedical and Health Sciences (RBHS)

Home Location Campus Piscataway (RBHS)

City Piscataway

State NJ

Location Details

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