Responsibilities

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. If a remote schedule is desired, please note in your application and/or if selected for an interview.

Key Responsibilities: 

Model Development & OptimizationBuild and deploy multimodal AI/ML models integrating textual, acoustic, and visual inputs from healthcare conversations and other sources of data (e.g., scans and tabular data)Implement, train, and fine-tune models in Python using packages such as PyTorch, Transformers, OpenCV, torchvision, and torchaudio.Apply prompting strategies, parallel computing, and GPU acceleration to optimize large-scale model training and inference.Data Management & AnalysisCollect, preprocess, and manage complex quantitative and qualitative datasets while ensuring data integrity and reproducibility.Design and execute advanced data analysis strategies, including statistical modeling, sampling schemes, and evaluation of computational methods.Research & WritingConduct literature reviews on AI in healthcare and health services research.Prepare clear and concise reports, visualizations, and presentations of project outcomes.Draft sections of grants, abstracts, and manuscripts related to AI/ML in healthcare.Identify external funding opportunities and contribute to multi-institutional research collaborations.Project CoordinationManage multiple concurrent assignments, track milestones, and ensure timely project delivery.Maintain and update internal quantitative and qualitative databases.

Qualifications

Bachelor's degree in health services research, statistics, health economics, engineering, epidemiology and health informatics or related fields with strong quantitative and/or qualitative background and minimum of 4 years of job related experience required. Master's degree in Computer Science, Engineering, Data Science, Health Informatics, or related field with 2 years of job-related experience and coursework in machine learning preferred. Research experience also preferred. 

Technical Skills: Strong programming skills in Python, with proficiency in PyTorch, Transformers, and scikit-learnExperience in NLP, speech processing, and/or visual modeling evidenced through previous projectsFamiliarity with GPU computing, distributed training, and prompting strategies for large language modelsFamiliarity with Bash scriptingProfessional Skills: Demonstrated ability to work independently and in multidisciplinary teams in most phases of research analysis, requiring only general instructions and directionDemonstrated proficiency in written and verbal communication skills, with experience drafting research reports and manuscriptsFamiliarity and interest with healthcare research and delivery contexts preferredAble to think logically and to systematically analyze alternative solutions in problem solvingWorks with general supervision; develops procedures for performance of a variety of duties; performs complex duties within established guidelines

Exemption Status

Nonexempt

Compensation Detail

$34.75 - $52.11 per hour; Education, experience and tenure may be considered along with internal equity when job offers are extended.

Benefits Eligible

No

Schedule

Part Time

Hours/Pay Period

Varied

Schedule Details

Supplemental - as needed; About 10-20 hours a week (can be more at different times due to project needs).

Weekend Schedule

Supplemental - as needed

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter

Stephanie Baird