Postdoctoral Fellow in Large Language Models (LLM)

About the Position

Postdoctoral Fellow in Large Language Models (LLM)

We are seeking a highly motivated and skilled Postdoctoral Fellow to join the lab of Dr. Isaac Kohane at Harvard Medical School Department for Biomedical Informatics. This position offers an exciting opportunity to contribute to cutting-edge research in the delivery of primary care using Large Language Models (LLM). The successful candidate will play a pivotal role in advancing our understanding of LLM applications in healthcare.

Responsibilities

• Conduct research and development activities using Large Language Models (LLM) for medical text processing.
• Collaborate with a multidisciplinary team of researchers to design and implement novel algorithms and models for medical text analysis.
• Analyze large-scale medical datasets, extract relevant information, and develop innovative approaches to improve the accuracy and efficiency of medical text processing.
• Evaluate and validate the performance of developed algorithms and models through rigorous experimentation and benchmarking.
• Contribute to the publication of research findings in high-impact scientific journals and present research outcomes at conferences and seminars.
• Assist in mentoring and supervising researchers in our lab, providing guidance and support in their research projects related to medical text processing.

Requirements

• Ph.D. in Biomedical informatics, Computer Science, Computational Linguistics, or a related field with a track record of publishing high-quality research papers in the field.
• Strong expertise and hands-on experience in using LLMs for medical text processing.
• Background in medicine or a related healthcare field is highly desirable.
• Proficient programming skills in Python and R or another relevant programming language commonly used in data science and natural language processing.
• Experience with large-scale medical datasets and familiarity with biomedical ontologies and terminologies.

Nice to Have

• Experience in machine learning
• Familiarity with embeddings

We Offer

• Opportunity to work on cutting-edge research in primary care using Large Language Models (LLM).
• Collaborative environment with a multidisciplinary team of researchers.
• Potential for publication in high-impact scientific journals.
• Professional development opportunities.

Apply

To apply, please submit a cover letter, detailed curriculum vitae, a list of references, and copies of your most significant publications or preprints to [email protected].

About the Company

Harvard is an Equal Opportunity Employer.

Isaac Kohane, MD, PhD

Chair of the Department of Biomedical Informatics, Harvard Medical School

Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School

Professor of Pediatrics, Boston Children's Hospital

Email Isaac Kohane

Zaklab

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