Senior LLM / Machine Learning Engineer – Clinical Platforms

• Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation
• Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling
• Query and manage health datasets using SQL on AWS cloud
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• With minimal supervision and direction, completes assignments in the required timeframe
• Routinely leads, co-leads, or participates in biomedical informatics projects with other members from the BCH research community and external collaborators
• Trains staff and researchers
• Creates or contributes to a range of compelling communications
• Presents at project meetings

• Bachelor’s degree in a STEM
• PhD, MD, MPH or MS preferred
• 2-3 years of experience in a professional work environment outside of academic setting
• Demonstrated proficiency in Python and SQL and/or numpy libraries for natural language processing and validation
• Strong foundation in statistics and applied quantitative methods
• Excellent communication, teamwork, and problem-solving skills
• Excellent problem-solving ability, collaborative spirit, and scientific curiosity

Familiarity with fast healthcare interoperability resources (FHIR)

• flexible schedules
• affordable health, vision and dental insurance
• child care and student loan subsidies
• generous levels of time off
• 403(b) Retirement Savings plan
• Pension
• Tuition and certain License and Certification Reimbursement
• cell phone plan discounts
• discounted rates on T-passes