Postdoctoral Position in Applied AI, NLP, and Large Language Models in Health Care
Background:
We are thrilled to present an exciting opportunity within the Data and Decision Science Lab in Health Care (DECILE), located within the Section of Biomedical Informatics and Data Science at Yale School of Medicine. The successful candidate will dive into the intricate world of Natural Language Processing (NLP), Large Language Models, and Applied AI, exploring diverse disease states through the application of these technologies and data science methodologies. DECILE is generously funded by various agencies including AHRQ, NIH, and industry collaborations.
Mentoring:
We invite a postdoctoral associate to join our interdisciplinary team of informaticians, physicians, and computational scientists. The associate will report directly to Dr. Andrew Taylor ([email protected]) and will also collaborate broadly with various researchers and professionals, both internal and external to Yale University, creating a rich, interactive, and supportive research environment.
Training:
The postdoctoral associate will undertake responsibilities related to collating, analyzing, interpreting, and presenting study findings. Training will encompass the practical application of advanced computational frameworks, including Spark and various machine learning libraries, with a pronounced focus on NLP and graph databases. The integration of common data models, such as OMOP, and the use of Electronic Health Record (EHR). Further, the role will delve deeply into Machine Learning, AI, and statistical concepts, applying these skills to investigate clinical conditions and outcomes, and to develop impactful, innovative projects within the lab.
Education, Qualifications, and Skills:
• PhD, or MD/PhD, with research experience in a relevant quantitative discipline such as epidemiology, bioinformatics, biostatistics, computer science, or a related field.
• Substantial expertise and interest in NLP, large language models, and applied AI, particularly within healthcare contexts.
• Experience or familiarity with healthcare and medical terminology.
• Adeptness in utilizing mathematical and/or statistical models.
• Profound interest in computational healthcare, clinical informatics, and data engineering.
• Capacity to analyze data, interpret findings, and present results using various research techniques.
• Proficiency in Python, R, version control, and distributed computing systems.
• Exceptional verbal and written communication skills, with experience in conveying research findings to varied audiences.
• Ability to work independently and collaboratively within an interdisciplinary research team.
This position is available for a one-year appointment, with the possibility of extension upon mutual agreement. Candidates interested in this vibrant opportunity are invited to email Dr. Andrew Taylor ([email protected] ) with a CV, statement of interest, and contact information for 2-3 references.
Yale University is an affirmative action/equal opportunity employer. Yale values diversity among its faculty, students, and staff and strongly encourages applications from women and underrepresented minorities.