AI/LLM Postdoctoral Research Associate
AI/LLM Postdoctoral Research Associate
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$ 60000 - 70000
1 Vacancy
Job Description
The Center for Virtual Care Value and Excellence (ViVE) led by Dr. Saif Khairat is seeking an AI/ LLM Postdoctoral Research Associate to join our AI research team. This is an exciting opportunity to contribute to innovative projects at the forefront of healthcare delivery improvement leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models machine learning and natural language processing combined with a collaborative spirit and a drive for problem-solving. Youll join a multidisciplinary team that values diversity and brings together expertise in software engineering big data clinical informatics and medicine. Key Responsibilities Collaborate with researchers to design develop and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize LLM / GPT -like models on large datasets. Stay abreast of advancements in language modeling and generative AI research. Apply your expertise to improve healthcare delivery and patient outcomes.
Required Qualifications Competencies And Experience
Expertise in Retrieval-Augmented Generation ( RAG ) Natural Language Processing ( NLP ) deep learning frameworks. Proficiency in Python and frameworks such as PyTorch TensorFlow Hugging Face Transformers or LangChain Familiarity with clinical or healthcare data (e.g. EHRs clinical notes structured claims data) Proven research record with peer-reviewed publications in relevant fields Strong problem-solving skills and the ability to work in a collaborative environment.
Preferred Qualifications Competencies And Experience
Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models HITL techniques and prompt engineering. Experience with LLM fine-tuning prompt engineering or retrieval-augmented generation ( RAG ) Experience deploying large-scale machine learning models in cloud environments.
Required Experience:
IC
Employment Type
Full-Time
