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Data Analyst - Job Opportunity at Rutgers University

Piscataway, USA
Full-time
Mid-level
Posted: February 21, 2025
On-site
USD 73,161 - 104,450 per year

Benefits

Comprehensive benefits package including health insurance
Retirement plan (ABP pension)
Educational benefits through a major university system
Professional development opportunities
Paid time off and holidays
Work-life balance initiatives

Key Responsibilities

Lead data quality assurance processes for clinical research data warehouse
Develop and implement data visualization techniques for stakeholder communication
Design and optimize analytical workflows for clinical research
Maintain EPIC data structures and healthcare data systems
Ensure compliance with research and healthcare regulations
Select and implement analytical tools for research teams
Contribute to data management strategy and best practices

Requirements

Education

Bachelor's degree or equivalent combination of education and experience

Experience

3 years of experience in Data Science, Statistics, Computer Science, Biomedical Informatics, or related field

Required Skills

Data analysis and visualization EPIC health system expertise HIPAA compliance knowledge Medical ontologies familiarity SQL, Python, R programming Data visualization tools (Tableau, Power BI) Clinical research data management Problem-solving and attention to detail Communication and team collaboration

Certifications

EPIC system certification
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Sauge AI Market Intelligence

Industry Trends

Healthcare data analytics is experiencing rapid growth with increased focus on interoperability and real-world evidence Clinical research data warehouses are becoming central to healthcare innovation and research efficiency Rising demand for professionals who can bridge technical skills with healthcare domain knowledge Increasing emphasis on data governance and compliance in healthcare analytics

Salary Evaluation

The offered salary range is competitive for academic healthcare analytics roles in the Northeast region, slightly above average for similar positions in public institutions

Role Significance

Typically part of a 5-8 person analytics team within a larger research computing organization
Mid-level position with significant technical responsibility and potential for growth into senior data roles

Key Projects

Clinical data warehouse optimization and maintenance Research data quality improvement initiatives Healthcare analytics dashboard development Cross-departmental data integration projects

Success Factors

Strong understanding of healthcare data structures and clinical workflows Ability to balance technical expertise with healthcare domain knowledge Excellence in stakeholder communication and project management Commitment to data quality and compliance standards

Market Demand

High demand with steady growth projected due to expanding healthcare data initiatives and research requirements

Important Skills

Critical Skills

Healthcare data expertise combined with technical skills Clinical research data warehouse experience Data quality assurance and compliance knowledge

Beneficial Skills

Machine learning and predictive analytics Healthcare interoperability standards Research methodology understanding

Unique Aspects

Combination of academic research and clinical data expertise requirements
Access to advanced research computing resources
Opportunity to work with diverse research teams and healthcare professionals
Position at intersection of healthcare IT and clinical research

Career Growth

2-3 years in role before advancement, depending on project impact and skill development

Potential Next Roles

Senior Data Analyst Clinical Data Manager Healthcare Analytics Manager Research Computing Specialist

Company Overview

Rutgers University

Rutgers University is a leading public research institution with a strong focus on healthcare and clinical research

Major academic institution with significant research funding and healthcare partnerships
Primary research hub in New Jersey with strong connections to pharmaceutical and healthcare industries
Academic environment with emphasis on research excellence, collaboration, and professional development
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