Research Technology Specialist

Summary

We are seeking a visionary and technically accomplished Research Technology Specialist to lead transformative research initiatives at the intersection of data science, surgery, and machine learning. This role is ideal for a seasoned healthcare data scientist with a proven track record in machine learning, causal inference, and large-scale claims data analysis, who thrives in academic, policy, and collaborative environments.

Key Responsibilities

Strategic Leadership & Vision

• Collaborate with teams (faculty, residents, students) in designing and executing data-driven surgery outcome research.
• Develop strategic roadmaps for AI/ML applications in health economics, payment reform, and care delivery models.
• Translate complex data into actionable outcomes for clinical researchers
  
  

Advanced Analytics & Modeling

• Apply supervised and unsupervised machine learning techniques, survival analysis, and causal inference to healthcare datasets.
• Become a leader in the use of machine learning in Surgery
  
  

Data Engineering & Infrastructure

• Architect robust data pipelines integrating Medicare, commercial claims, and hospital discharge datasets.
• Ensure compliance with HIPAA, DUAs, and institutional governance standards.
• Maintain reproducible research environments using GitHub, and endure data is always secure (utilize Brown University Health IT policies)
  
  

Policy Impact & Publications

• Author peer-reviewed studies and policy briefs on surgery outcomes
• Present findings at national conferences and contribute to legislative advocacy through data-backed recommendations.
  
  

Mentorship & Education

• Design and teach members of the department of surgery in healthcare data science, visualization, and AI ethics.
• Mentor junior analysts, students, and fellows in research design, coding, and publication development.
  
  

Qualifications

• M.Sc. in Analytics, Data Science, or related field
• 5+ years of experience in healthcare data science
• Expertise in languages such as R, Python, SQL, SAS, STATA;
• Deep familiarity with CMS, HCUP, HCCI, NSQIP, and other healthcare datasets.
• Strong publication record in top-tier journals and experience with patent filings.
• Ability to navigate and obtain IRB or similar approvals
• Exceptional communication and stakeholder engagement skills.
  
  

Preferred Attributes

• Experience in academic research centers or public health institutions.
• Demonstrated success in securing grants or leading funded research.
• Passion for ethical AI, health equity, and data governance.
  
  

Pay Range

$93,399.49-$154,117.60

EEO Statement

Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.

Location:

Rhode Island Hospital - 593 Eddy Street Providence, Rhode Island 02903

Work Type

M-F

Work Shift

Day

Daily Hours

8 hours

Driving Required

No