Company Overview
ExeQut 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.
Role Overview
- 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.
Key Responsibilities
- 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.
Required Skills & Qualifications
- 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 (PubMed, MedlinePlus, ClinicalTrials.gov) preferred.
- Strong scientific writing and oral communication skills.
Technologies & Tools
- Python, R, SQL
- NLP frameworks (spaCy, NLTK, Hugging Face, MetaMap)
- FHIR/HL7 APIs
- Clinical terminologies: SNOMED CT, ICD-10, LOINC, RxNorm, MeSH, UMLS
- Tableau, Databricks (data visualization and analysis)
- Jupyter Notebooks
- GitHub/GitLab
- JIRA, Confluence
- AWS, GCP, or Azure (working knowledge)
Why Join ExeQut?
If you are a driven professional with Data & Scientist, and you want to make an impact by working on high-profile projects across North America, we'd love to hear from you.
Apply now and be part of ExeQuts journey to transform businesses through innovation and technology.