DescriptionWe are seeking a highly motivated researcher with experience inmachine learningwithPython 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 & 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.
QualificationsBachelors 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. Masters 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 andscikit-learn
- Experience in NLP speech processing and/or visual modelingevidenced through previous projects
- Familiarity with GPU computing distributed training and prompting strategiesfor large language models
- Familiarity withBash 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.
Required Experience:
IC