AI Engineering Intern - Data Science & NLP

Univera HealthСare

City of Rochester (NY)

On-site

USD 25,000 - 32,000

Full time

14 days+
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Benefits offered by this job

Mentorship
Paid internship
Remote work possibility

Job summary

Univera Healthcare in Rochester, NY is offering a Fall 2026 Internship. The program is a paid co-op with development workshops, mentorship, and opportunities across IT, business, analytics, and clinical studies.

Interns work on meaningful projects and present at the end of the internship. Ideal candidates are enrolled full-time in undergrad or graduate programs with strong communication and analytical skills, and a willingness to collaborate in fast-paced environments.

Qualifications

  • Desired majors include Data Science, AI Engineering, Statistics, Mathematics, Software Engineering, Computer Science
  • Preferred skills or experience with NLP, Deep Learning, AI, and LLM
  • Must have a current enrollment in a full-time undergraduate or graduate program and be in good academic standing
  • Excellent verbal and written communication skills for technical and non-technical audiences

Responsibilities

  • Scale models to identify and stratify complex chronic conditions and HCCs for population health insights
  • Extract and leverage clinical data
  • Enhance NLP and ML solutions with AI to boost predictive accuracy
  • Work with a mentor on key strategic projects
  • Deliver a presentation at internship completion

Skills

Data Science
AI Engineering
Statistics
Mathematics
Software Engineering
Computer Science
NLP
Deep Learning
LLM
Communication

Education

High School diploma with proof of continuous college enrollment

Tools

Microsoft Office Suite

Job description

Univera Healthcare in Rochester, NY is offering a Fall 2026 Internship. The program is a paid co-op with development workshops, mentorship, and opportunities across IT, business, analytics, and clinical studies.

Interns work on meaningful projects and present at the end of the internship. Ideal candidates are enrolled full-time in undergrad or graduate programs with strong communication and analytical skills, and a willingness to collaborate in fast-paced environments.

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