Biomedical Informatics Specialist

Company Overview

Exe Qut is a leader in consulting, delivering customized solutions and systems integration for enterprise applications, data & AI platforms, identity access and management, cybersecurity, and software development. We emphasize transparency, collaboration, and addressing core business challenges through a structured, agile development process. Our clients include federal civilian agencies, commercial enterprises in healthcare IT and financial services, and state/local government entities seeking complex technology solutions that deliver real impact.

Partnering with clients from ideation to deployment, we ensure our solutions deliver long-term value and streamline the user experience.

• The Biomedical Informatics Specialist bridges the gap between biomedical/clinical research and technology.
• This role applies expertise in biomedical informatics, clinical data, NLP, and data science to support NLM's translational science efforts, tool development, and applied research activities.
• Staff in this role communicate clearly across clinical, scientific, and technical teams.

• Support applied research and development in biomedical informatics, image processing, machine learning, and clinical data science.
• Conduct and support translational science research including user surveys, stakeholder interviews, and usability testing.
• Document technical project requirements and timelines; coordinate internal and external dependencies.
• Create and manage action plans for product development aligned with user needs.
• Prepare materials to publicize product features and solicit/analyze community feedback.
• Translate user feedback into business requirements and development plans.
• Participate in resource analysis, design, estimation, development, testing, and maintenance.
• Design and implement applications using industry standards and best practices.
• Ensure architecture is secure, extensible, and integrable with existing NLM/NIH systems.
• Support clinical data analytics including data linkage, longitudinal studies, and EHR data analysis.
• Apply NLP techniques to biomedical text (extraction, classification, summarization).
• Support data interoperability and FHIR/HL7 standards implementation.
• Ensure compliance with HHS, NIH, NLM, and LHNCBC security and operational policies.
• Utilize Agile and Scrum frameworks to deliver project milestones on time.
• Assist in generating status updates and progress briefings for management and Government officials.

• Master's degree or PhD in Biomedical Informatics, Health Informatics, Bioinformatics, or related field.
• Minimum 4–6 years of experience in biomedical or clinical informatics research or development.
• Strong knowledge of clinical terminologies and ontologies (SNOMED CT, ICD-10, LOINC, RxNorm, MeSH).
• Experience with NLP for biomedical/clinical text.
• Familiarity with FHIR, HL7, and health data interoperability standards.
• Proficiency in Python and/or R; experience with ML/DL frameworks.
• Understanding of human subjects research protections (IRB, 45 CFR Part 46).
• Experience with PHI/PII data handling in FISMA environments.
• Knowledge of NIH/NLM resources (Pub Med, Medline Plus, Clinical Trials.gov) preferred.
• Strong scientific writing and oral communication skills.

• Python, R, SQL
• NLP frameworks (spaCy, NLTK, Hugging Face, Meta Map)
• FHIR/HL7 APIs
• Clinical terminologies: SNOMED CT, ICD-10, LOINC, RxNorm, MeSH, UMLS
• Tableau, Databricks (data visualization and analysis)
• Jupyter Notebooks
• Git Hub/Git Lab
• JIRA, Confluence
• AWS, GCP, or Azure (working knowledge)