Jobs search

Data Engineer (Biomedical & Clinical Informatics)

Rutgers University • Full-time • Piscataway, New Jersey, United States • $111.03k / year • 4d ago

Position Details

Position Information

Recruitment/Posting Title

Job Category

Staff & Executive - Research (Laboratory/Non-Laboratory)

Department

OIT-Enterprise Application Services

Overview

Rutgers, The State University of New Jersey, stands among the nation’s highest-ranked, most diverse public research universities. The oldest, largest, and top-ranked public university in the New York/New Jersey metropolitan area, you’ll find us at our main locations in three New Jersey cities, and our footprint can be seen around the region. As one of the nation’s most diverse universities, Rutgers draws strength from the rich variety of perspectives and life experiences of our community. We’re an academic, health, and research powerhouse and a university of opportunity.

The Office of Information Technology (OIT) is Rutgers’ enterprise IT office. OIT provides university wide services and support and collaborates with department and unit IT professionals on projects and initiatives for the Rutgers community. OIT’s services and systems include the Rutgers network; email and calendaring systems; IDs/passwords and identity management; data centers; computer labs; help desk support; wireless connectivity; a software portal; information security, risk, and compliance services; research computing; and many others. OIT’s staff members work closely with the broader university community to advance Rutgers’ missions of teaching, research, and service. For more information, please visit https://it.rutgers.edu.

Posting Summary

Rutgers, The State University of New Jersey, is seeking a Data Engineer (Biomedical & Clinical Informatics)for the Office of Advanced Research Computing (OARC), a division within the Office of Information Technology.

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.

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.
Utilizes 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.
Develops and coordinates 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.), advances personal knowledge in computational science, and develops individual research projects.
Presents at national meetings.
Develops and expands internal and external partnerships, including industry, to promote advanced computing-related collaborations, positioning Rutgers University as a leader in research and technologies.

FLSA

Exempt

Grade

35S

Salary Details

Minimum Salary

111032.000

Mid Range Salary

134248.000

Maximum Salary

160132.000

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, 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, 2023. 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.

Union Description

HPAE 5094

Payroll Designation

PeopleSoft

Seniority Unit

Terms of Appointment

Staff - 12 month

Position Pension Eligibility

ABP

Qualifications

Minimum Education and Experience

Master’s degree and 6 years of experience supporting computationally intensive and/or data intensive research projects or an equivalent combination of education and/or experience.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

Strong verbal and written communication skills.
Positive attitude and enjoys working in a dynamic and flexible environment.
Ability 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.).
Ability to 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

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 with moderate noise.

Special Conditions

Posting Details

Posting Number

25ST1803

Posting Open Date

08/20/2025

Special Instructions to Applicants

Regional Campus

Rutgers University-New Brunswick

Home Location Campus

Busch (RU-New Brunswick)

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.