Fellow​/Postdoctoral Researcher in Computer and Data Science

Fellow/Postdoctoral Researcher in Computer and Data Science

K-State Olathe invites applications for a Postdoctoral Researcher in Computer and Data Science to contribute to an FDA-funded research program. This is a 12-month term, renewable annually for up to 3 years contingent upon funding, with an anticipated commitment of approximately 95% research and development (R&D) and 5% other scholarly or collaborative activities. The immediate supervisor for this position will be Professor Majid Jaberi-Douraki.

The Postdoctoral Researcher will play a key role in advancing the project’s data science and regulatory informatics objectives. The position will focus on automating and annotating data, developing APIs, and creating navigation tools to support large-scale tracking and extraction of information from online sources and published records. The postdoc will work closely with Dr. Xuan Xu to develop knowledge graphs and apply Large Language Models (LLMs) within the project, and with Dr.

Melissa Mercer, who will provide complementary expertise in project management and data workflows. This position is designed for a motivated scholar eager to engage in multi- and inter-disciplinary research and to contribute to building novel computational tools that advance regulatory science, animal health, and biomedical applications.

The Successful Candidate will:

• Lead data curation, annotation, and automation workflows for regulatory and biomedical datasets.
• Design and implement customized scripts, APIs, and web-crawling pipelines to facilitate structured and unstructured data extraction.
• Contribute to the development of knowledge graphs and LLM-based tools to enhance data integration and accessibility.
• Collaborate with academic, government, and industry partners to advance project deliverables.
• Prepare and contribute to peer-reviewed publications, technical reports, and conference presentations.
• Support database development and data infrastructure required for long-term project success.

This position is Hybrid eligible
. This role is expected to be performed on-site approximately three (3) days a week.

All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.

• Doctoral degree. The degree requirement is necessary to ensure candidates possess the specialized knowledge, skills and abilities that can only be attained through a formal educational program at this level.

• PhD in Computer Science, Data Science, or a closely related field.
• Demonstrated expertise in data science, data analytics, automation, or NLP.
• Strong programming skills (e.g., Python, R, Java, or similar) for building tools and workflows with large datasets.
• Evidence of peer-reviewed publications and professional presentations.
• Ability to work both independently and collaboratively within a multi-disciplinary team.
• Experience with knowledge graphs and/or large language models (LLMs).
• Skills in web scraping/web crawling and automated data integration.
• Background in biomedical, veterinary, or regulatory datasets (e.g., animal health, toxicology, pharmacokinetics).
• Familiarity with database development and management.
• Strong interpersonal, oral, and written communication skills.

• Sponsorship eligibility: must be currently authorized to work in the United States at the time of employment.
• Position will be based at K-State Olathe, with occasional travel for collaboration and dissemination activities.

• Resume or CV
• Cover letter
• A statement of research interests of up to three (3) pages that succinctly describes the applicant's research. The statement should explain the importance and potential impact of this research.
• Up to three (3) representative papers
• Three (3) professional references

For questions regarding the position, please contact Dr. Majid Jaberi-Douaki at jaberi.

For questions regarding the recruitment process, please contact Olathe

HR at olathehr.