About the Opportunity

About the Khoury College of Computer Sciences

Khoury College is committed to building a diverse and inclusive community among students, faculty and staff. We strongly encourage applicants from underrepresented groups, individuals with disabilities, veterans, and those with diverse experiences and backgrounds. We invite you to join a fast-moving, ambitious college with an underlying mission that is driven by our motto of “CS for Everyone.”

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 (AI), text mining and knowledge assembly, mathematical and systems modeling, and causal analysis, and deploys its results 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 machine-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io.

Job Summary

The Associate Research Scientist will work in a fully grant-funded position focused on advancing the goals and deliverables of the lab’s funded projects. Working within defined project objectives and timelines, the scientist will develop and implement computational methods and open-source scientific software in the areas of knowledge-grounded AI, systems modeling, natural language processing, and data harmonization. The scientist will also build domain-relevant applications to benchmark and showcase these methods, contribute to publications and presentations describing the work, and help guide graduate students and other junior team members.

Because the position is fully supported by project funding, its scope and continuation are tied to the objectives and duration of the associated grants. The position reports to Benjamin Gyori, Associate Professor, and is based in Boston, Massachusetts.

Minimum Qualifications

Required

• PhD or equivalent
• Extensive and progressively responsible experience leading and contributing to computational research projects, including the ability to plan and execute research
• Track record of performance on research programs, peer-reviewed publications, open-source software, and conference or seminar presentations
• Deep expertise in one or more of the following areas, or a combination thereof: Knowledge-grounded AI 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, particularly for biomedical applications
• Strong scientific software development skills
• Commitment to reproducible, open research practices
• Ability to deliver defined project goals
• Previous supervisory experience and the ability to guide graduate students, junior scientists, and other junior team members

Key Responsibilities & Accountabilities

Perform Research (60%)

• Develop and implement computational methods and open-source scientific software in knowledge-grounded AI, systems modeling, natural language processing, and data harmonization
• Build domain-relevant applications to benchmark and showcase computational methods
• Plan and execute research within defined project objectives and timelines

Write for Publication (20%)

• Contribute to peer-reviewed publications and presentations describing the research

Supervise Graduate Students (10%)

• Guide graduate students, junior scientists, and other junior team members in their work

Draft New Grants (5%)

• Contribute to drafting new grant proposals

Purchasing and Budget Administration (5%)

• Perform purchasing and budget administration activities supporting the lab’s research

Required Documents

• Resume

Position Type

Additional Information

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

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.