ModMed is seeking to advance intelligent automation across the clinical and healthcare claims data lifecycle by developing and evaluating machine learning and generative AI models.
Requirements
- Strong foundation in Machine Learning (Required)
- Strong foundation in Generative AI / Large Language Models (Required)
- Strong foundation in Statistics (Required)
- Strong foundation in Natural Language Processing (Required)
- Strong foundation in Deep Learning (Required)
- Experience with model serving, deployment, or end-to-end ML workflows (preferred)
- Familiarity with AWS, Databricks, and distributed data environments (Preferred)
Responsibilities
- Develop and evaluate machine learning and generative AI models for clinical and healthcare claims data.
- Apply LLM and NLP techniques to extract insights, classify claim states, and recommend operational actions.
- Support model serving, deployment, and end-to-end ML workflow integration with engineering teams.
- Collaborate with data scientists, ML engineers, and product teams to guide research direction and deliver prototypes.
Other
- Currently pursuing a PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Statistics, Data Science, Computational Biology, or a related field (Required)
- Demonstrated research experience (e.g., peer-reviewed publications, preprints, research projects) (Required)
- Comprehensive medical, dental, and vision benefits
- 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation.
- Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave
