The Center for Biomolecular Science and Engineering at the Naval Research Laboratory in Washington D.C. has an opening for a recent Ph.D. graduate in bioinformatics, computational biology, or a related field. The ideal candidate will have experience in applying artificial intelligence to protein engineering and design.

This position will focus on the development and evaluation of single-domain antibodies using generative AI and deep learning approaches, and will be involved in the following: 1) Utilizing generative AI models for the de novo design of novel antibody sequences with specific binding against select targets. 2) Employing protein language models and embeddings to create predictive models for antibody biophysical properties. 3) Using protein structure prediction tools to model antibody-antigen interactions and guide the design process. 4) Collaborating with experimental teams to test and validate AI-generated antibody candidates, including assessing binding affinity. 5) Contributing to the maturation of technology. 

Relevant publications that reflect the nature of this work include:

Alvarez, J. A. E., & Dean, S. N. (2024). TEMPRO: nanobody melting temperature estimation model using protein embeddings. Scientific Reports, 14(1), 19074.

 Liu, J. L., Bayacal, G. C., Alvarez, J. A. E., Shriver-Lake, L. C., Goldman, E. R., & Dean, S. N. (2025). Generative deep learning design of single-domain antibodies against venezuelan equine encephalitis virus. Antibodies, 14(2), 41.