Part Time Health Services Analyst

Researcher Position

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.

Key Responsibilities:

• Model Development & Optimization
• Data Management & Analysis
• Research & Writing
• Project Coordination

• 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: Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.

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.