Cardiology AI Data Scientist - ECG & Multi-Omics Research

University of Minnesota; Saint Paul (MN); On-site; USD 66,000 - 86,000; Full time

Benefits offered by this job

Competitive wages and benefits

Regents Tuition Benefit Program

Low-cost medical plans

Flexible spending accounts

PSLF opportunity

Transit pass

Job summary

The Lillehei Heart Institute at the University of Minnesota in Minneapolis, MN has a full-time Research Scientist role focusing on cardiovascular research and AI/ML on digital and multi-omics data. You will design protocols, analyze complex datasets, mentor students, and present findings at academic events.

Responsibilities include implementing new projects, publishing manuscripts, collaborating with Dr. Chen's team, and supporting grant submissions through statistical and AI analyses.

Qualifications

• MD, PhD, or MD/PhD with research training.
• AI/ML approaches applied to digital data and multi-omics data.
• Experience in multi-omics analysis.
• Experience using R or Python.

Responsibilities

• Implement new projects and conduct data analyses; prepare manuscripts and present at scientific meetings.
• Conduct AI and machine learning analyses on ECG data, clinical, laboratory, omics, and other digital data.
• Lead literature reviews and identify new scientific directions.
• Develop and design experimental or analytical approaches.
• Mentor lab student workers.
• Assist with research grants; perform statistical and AI analyses to obtain preliminary data.

Skills

AI/ML in digital data

Multi-omics analysis

Python

R

Education

MD/PhD

PhD in Statistics/ Biostatistics/ CS/ EE

Tools

R

Python

Job description

The Lillehei Heart Institute at the University of Minnesota in Minneapolis, MN has a full-time Research Scientist role focusing on cardiovascular research and AI/ML on digital and multi-omics data. You will design protocols, analyze complex datasets, mentor students, and present findings at academic events.

Responsibilities include implementing new projects, publishing manuscripts, collaborating with Dr. Chen's team, and supporting grant submissions through statistical and AI analyses.