Health AI Scientist (Researcher 5)

OHB System AG; Minneapolis (MN); On-site; USD 44,231 - 54,060; Full time

Benefits offered by this job

Competitive wages

Paid holidays

Continuous learning opportunities

Low-cost medical, dental, and pharmacy plans

Employee wellbeing program

Excellent retirement plans

Job summary

A leading research university in Minneapolis is seeking a Research Scientist to advance health data science through AI and natural language processing projects. The ideal candidate holds a Ph.D. in a related field and exhibits strong programming skills in Python or Java. Responsibilities include conducting computational experiments, assisting with project development, and communicating results to stakeholders. The role promises competitive pay and a comprehensive benefits package, emphasizing professional growth and inclusivity.

Qualifications

• Ph.D. degree in a related technical field is mandatory.
• Strong programming skills, including Python and Java.
• Proven expertise in machine learning and deep learning.

Responsibilities

• Conduct computational experiments for AI algorithms.
• Assist with project development, including literature reviews.
• Implement AI methods and summarize findings.

Skills

Strong programming skills in Python

Expertise in machine learning

Excellent writing and communication skills

Ability to identify potential problems and develop solutions

Ability to function well in fast-paced environments

Education

Ph.D. in Biomedical/Health Informatics or related field

Job description

About the Job

Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota is seeking one research scientist to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.

About the Program

Division of Health Data Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health Informatics is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks.

Duties / Responsibilities

• Regularly conduct computational experiments to execute AI algorithms on various health and biomedical projects
• Assist with new project development including literature review, study design and experiment conduction
• Work under general supervision but usually is given the latitude to make decisions on projects that s/he is accountable for delivering on; decisions may involve an approach from among alternatives, determining how to best use available resources
• Design and/or implement AI methods, summarize findings, and generate study results for research topics
• Write, edit or critique technical reports and/or publications describing research results to sponsors or funders of the research
• Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (spoken presentations, poster or written work summaries for display, panels, and other formats)

Required Qualifications

• A Ph.D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field.
• Strong programming skills in Python, Java, etc.
• Expertise in machine learning, neural networks, and deep learning
• Excellent writing and communication skills
• Highly motivated, ability to identify potential problems and develop solutions.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Preferred Qualifications

• Research experience in natural language processing especially larger language models on biomedical and/or clinical texts, graph neural networks, predictive modeling on longitudinal data.
• Expertise in deep learning, reinforcement learning, transfer learning,
• Experience working with multimodal biomedical data
• Experience with leading projects within a research team
• Working knowledge of modern web service and/or software implementation
• Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise
• Strong experience with peer-reviewed publications

Pay and Benefits

Pay Range: $49,145.94 minimum; depending on education/qualifications/experience

Time Appointment: 75%-100% Appointment

Position Type: Faculty and 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

How To Apply

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

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e‑mail [e-mail] or call (612) 624-UOHR (8647).

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 the U of M

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 the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).

About the Department

To learn more about the Department of Surgery, please visit: https://med.umn.edu/surgery