Cardiology Data Scientist: AI/ML for ECG & Omics

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

Benefits offered by this job

Comprehensive benefits

PSLF eligibility

Retirement plans

Transit benefits

Job summary

The Lillehei Heart Institute at the University of Minnesota is seeking a Research Scientist to lead advanced cardiovascular research, design experiments, analyze complex datasets, and contribute to scholarly publications in a role located in Minneapolis, MN. Emphasis is on AI/ML approaches applied to digital and multi-omics data with mentoring responsibilities and collaboration across a university lab.

Ideal candidates hold an MD/PhD or PhD with training, have experience in AI/ML and

Qualifications

• MD, PhD, or MD/PhD with research training.
• PhD in Statistics, Biostatistics, CS, EE or related fields desirable.
• Experience in AI/ML on 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 for journals and present at scientific meetings.
• Conduct AI/ML analyses on ECG raw signal data, clinical, laboratory, omics, and other digital data.
• Lead literature reviews and identify new scientific directions.
• Develop and design experimental or analytical approaches.
• Collaborate with team members on other projects and perform statistical analyses.

Skills

AI/ML on digital data

Multi-omics data analysis

R experience

Python experience

Education

PhD in Statistics/Biostatistics/CS/EE

Tools

R

Python

Job description

The Lillehei Heart Institute at the University of Minnesota is seeking a Research Scientist to lead advanced cardiovascular research, design experiments, analyze complex datasets, and contribute to scholarly publications in a role located in Minneapolis, MN. Emphasis is on AI/ML approaches applied to digital and multi-omics data with mentoring responsibilities and collaboration across a university lab.

Ideal candidates hold an MD/PhD or PhD with training, have experience in AI/ML and