Data Engineer (Biomedical & Clinical Informatics)

Rutgers-The State University - New Brunswick, NJ

Full-time - Mid Level

New Brunswick, NJ

Educational Services

About the position

The Data Engineer (Biomedical & Clinical Informatics) at Rutgers University will support the biomedical research community by managing and analyzing data related to molecular and cellular biology, genomics, and biomedicine. This role involves developing data pipelines, optimizing data systems, and collaborating with various stakeholders to enhance research computing capabilities. The position also includes educational outreach and training for the university community, with opportunities for professional development and partnership expansion.

Responsibilities

• Participate in the development of new biomedical and clinical informatics research and support models.
• Develop and maintain data pipelines for clinical research data integration and analysis.
• Utilize data wrangling techniques to clean and prepare raw data for analysis.
• Provide education, outreach, and training to the university community on advanced computing.
• Optimize data systems for performance and efficient data storage and retrieval.
• Collaborate with Enterprise Infrastructure teams to align data engineering efforts with broader strategies.
• Engage in professional development activities and present at national meetings.
• Develop and expand partnerships to promote advanced computing-related collaborations.

Requirements

• Master's degree required plus a minimum of six years' experience in computationally intensive or data-intensive research projects.
• Strong verbal and written communication skills.
• Experience in data pipeline building, optimization, and data system architecture in a healthcare or clinical research environment.
• Expertise in data wrangling techniques and ETL processes.
• Proficiency in programming languages such as Python, SQL, and Java, and experience with database technologies like SQL Server and PostgreSQL.
• Deep knowledge of statistical methods and practical knowledge of machine learning model building and deployment.

Nice-to-haves

• Ph.D. in a related field.
• Knowledge of the EPIC electronic medical records system and the EPIC Cognitive Computing Platform (ECCP).
• Familiarity with data-intensive computing environments and cloud-based data technologies.
• Experience with statistical tools like SAS, Stata, and SPSS.

Benefits

• Comprehensive benefit program including health insurance, retirement plans, and paid time off.