Postdoctoral Research Associate

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 junior researchers

Preferred

• Strong scientific software development skills and a commitment to reproducible research practices
• Experience applying computational methods to biomedicine or related domains

Key Responsibilities & Accountabilities

• Conduct original research in knowledge-grounded artificial intelligence, systems modeling, natural language processing, data harmonization, and related research areas
• Lead the implementation of research methods as reusable scientific software
• Benchmark computational methods using real-world applications
• Publish research findings and present results
• Contribute to grant proposals
• Collaborate with graduate and undergraduate students, scientific software developers, academic collaborators, and program partners
• Mentor junior researchers

Required Documents

• Resume
• Cover letter

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.  

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.  

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

Expected Hiring Range:

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.