Hybrid Research Specialist: AI Tools & Data Integrity

Hugh Chatham Health; Winston-Salem (NC); Hybrid; USD 87,968,000 - 131,952,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Disability protection

Flexible Spending Account (FSA)

Adoption assistance

Paid parental leave

Retirement plan with employer match

Educational assistance

Job summary

Advocate Health in the United States is seeking a detail-oriented researcher to assist with planning, development, implementation, evaluation, writing and dissemination of funded research projects. The role blends research management with academic investigation, with contingency on extramural funding and a 40-hour work week.

You will work on data validation, AI-assisted tool development, and collaboration with faculty to advance reproducible science while contributing to literature and grant

Qualifications

• Master's degree with at least four years of relevant research experience or equivalent.
• Strong knowledge of scientific principles and statistics.
• Experience with data cleaning, validation, and data management.
• Excellent writing, communication, and collaboration skills.
• Familiarity with AI tools, LLMs, or workflow automation is a plus.

Responsibilities

• Run statistical models for data validation, quality checks, and anomaly detection.
• Identify inconsistent, flawed data using classical and augmented techniques.
• Contribute to data-integrity scoring and reproducible science SOPs.
• Design automated workflows and AI-informed research tools.
• Collaborate with statisticians, programmers, and faculty on system tests.

Skills

Data validation

Statistical analysis

Research coordination

Scientific writing

Programming (R/Python)

Communication skills

Education

Master's degree (4+ years experience)

Tools

R

Python

SAS

Job description

Advocate Health in the United States is seeking a detail-oriented researcher to assist with planning, development, implementation, evaluation, writing and dissemination of funded research projects. The role blends research management with academic investigation, with contingency on extramural funding and a 40-hour work week.

You will work on data validation, AI-assisted tool development, and collaboration with faculty to advance reproducible science while contributing to literature and grant