Senior Scientist Research Computing - Data Engineer (

Davita Inc.; Piscataway Township (NJ); Hybrid; USD 109,000 - 158,000; Full time

Job summary

A prestigious university is seeking a Senior Scientist Research Computing - Data Engineer for the Office of Advanced Research Computing. This position will support the biomedical and clinical research community, develop efficient data systems, and collaborate with various teams to enhance data usage in research projects. The role includes building data pipelines, conducting training, and optimizing data systems for performance, contributing to the growth of informatics services at the university.

Benefits

Medical, prescription drug, and dental coverage

Paid vacation, holidays, and various leave programs

Competitive retirement benefits

Employee and dependent educational benefits

Life insurance coverage

Employee discounts programs

Qualifications

• A minimum of six (6) years experience supporting computationally intensive and/or data intensive research projects.
• Proven experience in data pipeline building, optimization, and data system architecture.
• Demonstrate deep knowledge of statistical methods and machine learning.

Responsibilities

• Develop and maintain data pipelines for clinical research data.
• Provide education, outreach and training to the university community.
• Collaborate with Enterprise Infrastructure teams.

Skills

Strong verbal and written communication skills

Data pipeline building

Data system architecture

Data wrangling techniques

ETL processes

Programming languages (e.g., Python, SQL)

Machine learning model building

Education

Master's degree

Tools

SQL Server

PostgreSQL

AWS

Azure

Hadoop

Spark

Job description

Position Details

Position Information

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.

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.

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.

Recruitment/Posting Title	Senior Scientist Research Computing - Data Engineer (
Job Category	Staff & Executive - Information Technology
Department	Office of Advanced Research Computing
Overview
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
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
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 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	NJ
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.

Affirmative Action/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 value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement