Postdoctoral Fellow in the Luna Lab: The Luna Lab, jointly affiliated with the National Library of Medicine (NLM) and the National Cancer Institute (NCI), seeks outstanding and highly motivated postdoctoral fellows. Our mission is to make biomedical data accessible and advance cancer research to improve health outcomes. This position involves cutting-edge research in data science, NLP, and computational biology, with a focus on cancer therapeutics and precision medicine.
Data Science/NLP/Computational Researcher (Postdoctoral Fellow) in the Luna Lab (NLM/NCI)
Job Summary Table
| Designation | Postdoctoral Fellow |
|---|---|
| Research Area | Data Science, NLP, Computational Biology |
| Location | National Library of Medicine, Bethesda, MD |
| Eligibility/Qualification | PhD in relevant fields; strong coding and ML skills |
| Job Description | Develop methodologies for data summarization, structuring information, and retrieval-augmented generation |
| How to Apply | Email cover letter, CV, code repository links, and references to Dr. Augustin Luna |
| Last Date to Apply | Open until filled |
Designation
Postdoctoral Fellow
Research Area
Data Science, NLP, Computational Biology
Location
National Library of Medicine, Bethesda, MD and surrounding area
Eligibility/Qualification
Essential
- PhD in Statistics, Mathematics, Data Science, Computer Science/Engineering, Electrical Engineering, Medical Informatics, or related Biology field with substantial computational/statistical experience.
- Excellent knowledge of LLMs, deep learning neural networks, and machine learning.
- Proficiency in Python, PyTorch/TensorFlow, and real-time interaction modeling.
- Experience with multimodal generative language models, personalized LLMs, and reinforcement learning.
- Strong coding skills, mathematical modeling, and a keen interest in computational methods for biological problems.
- Proven ability to conduct independent research.
- Excellent communication skills as evidenced by publications and conference presentations.
- Commitment to reproducible research and open science.
Desirable
- PhD thesis in neural conversational systems or related area.
- Foundational knowledge in Bioinformatics, Systems Biology, Mathematics, Statistics, and Data Science.
- Familiarity with high-performance computing and software development practices.
- Experience with R programming, network-based analyses, and biomedical ontologies.
- Collaborative interdisciplinary research experience.
Job Description
Join the Luna Lab to:
- Explore large-scale, heterogeneous biomedical data.
- Develop novel bioinformatic machine learning methodologies for multimodal data summarization from pharmacogenomics datasets.
- Structure complex scientific information from unstructured data sources.
- Implement retrieval-augmented generation for LLM-backed information retrieval from multi-omics datasets.
- Contribute to cancer therapeutics and precision medicine research.
This full-time position offers competitive NIH salaries, comprehensive health insurance, and renewable contracts up to five years, subject to background checks. The NIH is committed to diversity and the career development of its research staff.
How to Apply
Interested candidates should send the following documents to Dr. Augustin Luna via email (augustin@nih.gov) with “Postdoctoral Application” in the subject line:
- Cover letter (1 page max) detailing research experience, training goals, and preferred starting date, tailored to the Luna Lab.
- Updated CV with bibliography.
- Links to code repositories with attributable code.
- Contact information for three references (name, institute, email, phone).
Last Date for Apply
Open until filled
