About the Opportunity About the Gyori Lab for Computational Biomedicine The Gyori Lab for Computational Biomedicine at Northeastern University builds systems that accelerate scientific discovery by combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis. Research
results are often deployed as widely used open-source software and services. The lab’s work is supported by a portfolio of federal and foundation grants spanning biomedical knowledge integration, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join a fast-moving,
ambitious college with an underlying mission driven by the motto “CS for Everyone.” Job Summary The Gyori Lab for Computational Biomedicine is seeking a Postdoctoral Research Associate to contribute to its portfolio of research. The Postdoctoral Research Associate will develop new computational methods in knowledge-grounded artificial intelligence, systems modeling, natural language processing, and data
harmonization, with applications in biomedicine and related domains. The Postdoctoral Research Associate will collaborate closely with graduate and undergraduate students, scientific software developers, academic collaborators, and program partners. This position is based in Boston, Massachusetts, and comes with an initial two-year appointment. Renewal is possible, subject to funding and performance. Minimum
Qualifications Required PhD or equivalent in computer science, computational biology, biomedical engineering, or a related field by the appointment start date Expertise and a demonstrated track record in one or more of the following areas, or a combination of these areas: Knowledge-grounded artificial intelligence and knowledge graphs, including large language model (LLM) and retrieval-augmented generation (RAG)
approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research productivity evidenced by peer-reviewed publications, open-source software, or other scholarly outputs Excellent written and verbal communication skills Ability to work collaboratively on interdisciplinary teams Interest in mentoring
Summary from the source posting. Always confirm details on the institution's official career page.