AI/LLM Post-Doc Research Associate
Listed on 2026-06-02
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Software Development
Data Scientist, AI Engineer, Machine Learning/ ML Engineer
Position Summary
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 12‑month term offers a chance to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging large language models and clinical data analysis.
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 expertise to improve healthcare delivery and patient outcomes.
Ph.D. in Computer Science, Electrical Engineering, or related fields.
Required Qualifications , Competencies, and Experience- Expertise in Retrieval‑Augmented Generation (RAG), Natural Language Processing (NLP), and deep learning frameworks.
- Proficiency in Python and frameworks such as PyTorch, Tensor Flow, Hugging Face Transformers, or Lang Chain.
- 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 ability to work in a collaborative environment.
- 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.
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.
Optional and Required DocumentsRequired Documents
- Curriculum Vitae / Resume
- Cover Letter
- List of References
Optional Documents
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