Research Professional Data Scientist - Cardiology

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

Location: Twin Cities

About the Job

The Lillehei Heart Institute (LHI) at the University of Minnesota is dedicated to advancing cardiovascular research. This is a full-time role for a Research Scientist at the Lillehei Heart Institute, located in Minneapolis, MN. The candidate will conduct advanced cardiovascular research, design and optimize experimental protocols, analyze complex datasets, and contribute to scholarly publications. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty, preparing research reports, and presenting findings at academic events.

Job Responsibilities

• 70%: You will be responsible for implementing new projects and conducting data analyses. From these projects, you will be expected to prepare manuscripts for submission to scientific journals and present at national/international scientific meetings.
• Conduct AI and machine learning analyses on ECG raw signal data, clinical, laboratory, omics, and other digital data, integrating across these modalities
• Lead literature reviews and identify new scientific directions
• Develop and design experiment or analytical approaches
• 15%: You will be expected to collaborate with other team members working with Dr. Chen in regard to other projects.
• Perform statistical analyses for projects led by other team members
• Mentoring lab student workers
• 15%: You will also be expected to assist with research grants submitted by Dr. Chen.
• Perform statistical and AI/machine learning analyses to obtain preliminary data to support grant submissions

Other duties as assigned

Qualifications

• Highly qualified and motivated investigator (MD, PhD, or MD/PhD)
• PhD in Statistics, Biostatistics, Computer Science, Electrical Engineering, or related fields is desirable with one or more years of research training
• Experience in artificial intelligence/machine learning approaches applied to digital data and multi-omics data
• Experience in multi-omics analysis
• Experience using R or Python

Pay and Benefits

Pay Range: The starting salary for this position ranges from $66,000 to $86,000 based on education and experience.

Time Appointment: 100% appointment

Position Type: P&A Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the time, the initial pay may not reach the maximum of the range. This approach ensures that compensation reflects the value and unique contributions of each candidate while maintaining equity within our organization. As part of our commitment to fair and equitable compensation, please be aware that the salary offered to incoming candidates will be based on their individual credentials and experience.

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.