Research Associate in Data Engineering and Machine Learning for Biomedical Research

The Feres Lab at Harvard School of Dental Medicine seeks a Research Associate to lead data infrastructure development and machine learning applications for biomedical research. The role involves designing reproducible data pipelines, maintaining research data models, implementing ML models, and contributing to publications and grant applications. Candidates should have a Master’s in data science/computer science or related field with 2+ years of experience (or Bachelor’s with 4+ years), proficiency in Python/R and SQL, and strong communication skills. Experience with ETL pipelines, microbiome/immunological data, and high-performance computing is preferred.