**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 t **extual (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 & Optimization + Build 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 & Analysis + Collect, 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 & Writing + Conduct 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 Coordination + Manage 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-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 in most phases of research analysis, requiring only general instructions and direction + Demonstrated proficiency in written and verbal communication skills, with experience drafting research reports and manuscripts + Familiarity and interest with healthcare research and delivery contexts preferred + Able to think logically and to systematically analyze alternative solutions in problem solving + Works with general supervision; develops procedures for performance of a variety of duties; performs complex duties within established guidelines **Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM. Must be a U.S. Citizen, permanent resident, refugee or asylee.** **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. (https://jobs.mayoclinic.org/alllocations) **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" (https://www.eeoc.gov/poster) . Mayo Clinic participates in E-Verify (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) 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 **Equal opportunity** As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.