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
ResearchAdditional 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:
109SExpected Hiring Range:
$67,855.00 - $95,845.00With 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.
Skills Required
- PhD or equivalent
- Extensive and progressively responsible experience leading and contributing to computational research projects
- Track record of research performance, peer-reviewed publications, open-source software, and conference or seminar presentations
- Deep expertise in knowledge-grounded AI and knowledge graphs, including LLM and RAG approaches; biological or complex systems modeling; NLP and machine learning; or biomedical data harmonization and integration
- Strong scientific software development skills
- Commitment to reproducible, open research practices
- Ability to deliver defined project goals
- Previous supervisory experience and ability to guide graduate students, junior scientists, and other junior team members
Northeastern University Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Northeastern University and has not been reviewed or approved by Northeastern University.
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Leave & Time Off Breadth — Paid time off is described as extensive, including 22–26 vacation days, 12 sick days, 13 holidays, and paid parental leave for birth/adoption. Additional paid leave is also outlined, including up to 26 weeks of paid medical leave and up to 12 weeks of paid family leave for eligible employees.
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Retirement Support — Retirement support is positioned as a standout, with an employer contribution described as 10% when an employee contributes 5%, alongside immediate vesting once eligible. This is presented as unusually generous relative to typical employer retirement offerings.
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Parental & Family Support — Family-oriented benefits are emphasized through tuition assistance for employees and dependents and access to backup childcare and family-care resources. Tuition remission/discount structures are highlighted as a major value driver, especially for employees with children and for long-tenured staff.
Northeastern University Insights
What We Do
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. The university is a leader in experiential learning, powered by the world’s most far-reaching cooperative education program. We integrate classroom study with opportunities for professional work, research, service, and global learning in more than 100 countries. The same spirit of collaboration guides a use-inspired research enterprise focused on solving global challenges in health, security, and sustainability. Northeastern offers a comprehensive array of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools, and select graduate programs at campuses in Boston, Charlotte, N.C., San Francisco Bay Area, Seattle, and Toronto. Campuses in Burlington, MA, and Nahant, MA, are home to research institutes for homeland security and coastal sustainability, respectively
