Part Time Health Services Analyst

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 & 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.

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