Data Analyst
Job Level
Mid-level position
Post Date
07/23/2025
Job Category
Senior Analyst
Sector
Job Status
Full-Time
Areas of Responsibility
Rutgers, The State University of New Jersey, is seeking a Data Analyst for the Office of Advanced Research Computing. The Rutgers Clinical & Research Data Warehouse (CRDW) Data Analyst position involves contributing to various aspects of clinical research data management, analysis, and visualization.
Among the key duties of this position are the following:
- Assists in maintaining data quality, performing analytical tasks, developing visualization techniques, and aiding in the selection and application of analytical tools within a clinical research data warehouse context.
- Uses EPIC data structures and other healthcare-related data systems.
- Leads team efforts to ensure data Quality Assurance (QA) processes are effectively implemented, maintaining the integrity and accuracy of clinical research data within the data warehouse.
- Leads team efforts to ensure data Quality Assurance (QA) processes are effectively implemented, maintaining the integrity and accuracy of clinical research data within the data warehouse.
- Develops data visualization techniques to present findings and insights effectively, aiding in the interpretation and communication of results to stakeholders.
- Develops analytical workflows, optimizing processes for data acquisition, analysis, and reporting within the clinical research context.
- Recommends, selects and implements appropriate analytical tools and methodologies to support research teams in leveraging data for analysis.
- Understands and adheres to Rutgers’ compliance standards as they appear in RBHS’s Corporate Compliance Policy, Code of Conduct and Conflict of Interest Policy.
- Keeps abreast of all pertinent federal, state and Rutgers’ regulations, laws and policies as they presently exist and as they change or are modified.
- Performs other related duties as assigned.
Minimum Education and Experience
- Bachelor’s degree or an equivalent education, experience, and/or training may be substituted for the degree requirements.
- 3 years of experience in Data Science, Statistics, Computer Science, Biomedical Informatics, or a related field.
Required Knowledge, Skills, and Abilities
- Proven experience in data analysis, data quality assurance, and data visualization within a clinical research or healthcare environment.
- Certification from the EPIC health system and experience working with data structures and electronic health record (EHR) systems.
- Experience working with clinical research data warehouses or similar healthcare data systems.
- Understanding of HIPAA regulations and/or Human Subjects regulations for clinical research.
- Familiarity with medical ontologies (e.g., ICD-9/10 and CPT codes).
- Proficiency in analytical tools and programming languages such as SQL, Python, R, or similar tools for data manipulation and analysis.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, etc.) to create impactful visual representations of data.
- Understanding of analytical workflows and the ability to contribute to their development and optimization.
- Strong problem-solving skills and attention to detail in ensuring data accuracy and integrity.
- Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.
Preferred Qualifications
- Advanced degree (e.g., Master’s, PhD, etc.)
- Knowledge of regulatory requirements and best practices in data management for clinical research (e.g., HIPAA).
- Experience in developing, maintaining, and managing IT applications and systems.
- Familiarity with REDCap for building and managing online databases and surveys.
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.
How to Apply
Please apply through the school's career page, search Data Analys in search jobs.
Required Documents
- Resume/CV
- Cover Letter/Letter of Application
- List of Professional References (contact Info)