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Senior Scientist Research Computing - Data Engineer (

Rutgers University • Full-time • Piscataway, New Jersey, United States • $109.28k - $157.61k / year • 3m ago

Position Details

Position Information

Recruitment/Posting Title

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).

Position Status

Full Time

Hours Per Week

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.

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

Qualifications

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 Details

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

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.