Research Professional Data Scientist - Cardiology

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
Detailed documentation of analytical procedures and data is expected. You are expected to participate in lab/project meetings. Specifically, on a regular basis, you will be required to present independent review of relevant scientific literature for ongoing projects, data analysis results, and discussions of possible new approaches with Dr. Chen and team members.

Other duties as assigned

Required Qualifications: (Must be documented on all application materials)
* 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

Preferred Qualifications:
* 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 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.

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume or CV.

This position will remain open until filled.

To request an accommodation during the application process, please e-mail jobcentr@umn.edu.

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

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.

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.