Sr. Scientist RC

Data Engineer (Biomedical & Clinical Informatics)

Rutgers, The State University of New Jersey, is seeking a Data Engineer (Biomedical & 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.

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.
- Develop and maintain data pipelines to facilitate the smooth flow and collection of clinical research data, integrating various sources for comprehensive analysis.
- Provide education, outreach, and training to the university community. Develop and coordinate instructor-based training focused on advanced computing.
- Optimize data systems for performance, ensuring efficient storage, retrieval, and staging of data for analysis and reporting purposes.
- Collaborate closely with Enterprise Infrastructure (EI) teams to align data engineering efforts with broader infrastructure strategies and capabilities.
- Develop and expand internal and external partnerships, including industry, to promote advanced computing-related collaborations.

Position Status: Full Time

Minimum Education and Experience:

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

Required Knowledge, Skills, and Abilities:

- Strong verbal and written communication skills.
- Enjoy working in a dynamic and flexible team environment.
- 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.).
- Deep knowledge of statistical methods and practical knowledge of machine learning model building and deployment.

Preferred Qualifications:

- A Ph.D. in a related field.
- Knowledge of the EPIC electronic medical records system and the EPIC Cognitive Computing Platform (ECCP).
- Experience with cloud-based data technologies and distributed computing frameworks (e.g., AWS, Azure, Hadoop, Spark).

All offers of employment are contingent upon successful completion of all pre-employment screenings.

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