KER Unit - Health Services Analyst - Supplemental

Mayo Clinic Researcher Position

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

We are seeking a highly motivated researcher with experience in machine learning with Python to develop multimodal AI/ML models from healthcare conversations combined with other sources of data (e.g., scans and tabular data). The ideal candidate will have hands-on experience with textual (NLP), acoustic (speech), and visual data and the ability to integrate these modalities into state-of-the-art models for healthcare applications.

Responsibilities include:

• Developing and optimizing multimodal AI/ML models integrating textual, acoustic, and visual inputs from healthcare conversations and other sources of data (e.g., scans and tabular data)
• Implementing, training, and fine-tuning models in Python using packages such as PyTorch, Transformers, OpenCV, torch vision, and torch audio.
• Applying prompting strategies, parallel computing, and GPU acceleration to optimize large-scale model training and inference.
• Collecting, preprocessing, and managing complex quantitative and qualitative datasets while ensuring data integrity and reproducibility.
• Designing and executing advanced data analysis strategies, including statistical modeling, sampling schemes, and evaluation of computational methods.
• Conducting literature reviews on AI in healthcare and health services research.
• Preparing clear and concise reports, visualizations, and presentations of project outcomes.
• Drafting sections of grants, abstracts, and manuscripts related to AI/ML in healthcare.
• Identifying external funding opportunities and contributing to multi-institutional research collaborations.
• Managing multiple concurrent assignments, tracking milestones, and ensuring timely project delivery.
• Maintaining and updating internal quantitative and qualitative databases.

Qualifications include:

• Master's degree in Computer Science, Engineering, Data Science, Health Informatics, or related field, with substantive coursework in machine learning experience preferred (two years minimum) OR Bachelor's degree in the fields above with strong quantitative background and four years of experience (minimum) required.
• Research experience preferred. Experience with previous research projects with quantitative and/or qualitative focus. Competent to work independently in most phases of research analysis, requiring only general instructions and direction.
• Demonstrated proficiency in written communication and research methodology. Able to think logically and to systematically analyze alternative solutions in problem solving. Knowledgeable about a current health care delivery environment. Works with general supervision; develops procedures for performance of a variety of duties; performs complex duties within established guidelines.

Technical skills:

• Strong programming skills in Python, with proficiency in PyTorch, Transformers, and scikit-learn.
• Experience in NLP, speech processing, and/or visual modeling evidenced through previous projects.
• Familiarity with GPU computing, distributed training, and prompting strategies for large language models.
• Familiarity with Bash scripting.

Professional skills:

• Demonstrated ability to work independently and in multidisciplinary teams.
• Excellent written and verbal communication skills, with experience drafting research reports and manuscripts.
• Familiarity and interest with healthcare research and delivery contexts preferred.

Note:

Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee.

Exemption Status:
Nonexempt Compensation Detail: $35.45-$53.15/hr;
Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible:
No