NLM Bioinformatics Specialist and Developer (SME)

Responsibilities

• Provide authoritative guidance in areas such as natural language processing (NLP), image processing, machine learning (ML), deep learning (DL), data mining, and biomedical informatics.
• Lead the conceptualization and development of novel algorithms, models, and tools to support biomedical research and clinical data analysis.
• Collaborate with NIH researchers and developers to design and implement advanced research studies and technology solutions.
• Contribute to the development of AI-driven applications, including those for clinical decision support, data harmonization, and knowledge extraction from unstructured data.
• Advise on the design of secure, scalable, and interoperable system architectures that integrate with existing NIH/NLM infrastructure.
• Support the integration of open-source and commercial technologies into research workflows and data pipelines.
• Conduct rigorous evaluations of computational models and systems, including performance benchmarking, usability testing, and validation studies.
• Analyze large-scale biomedical datasets using statistical and computational methods to derive actionable insights.
• Mentor junior staff and contribute to workforce development through training, documentation, and knowledge sharing.
• Serve as a liaison between technical teams and program stakeholders, translating complex technical concepts into actionable strategies.
• Participate in strategic planning sessions to align technical solutions with NLM's mission and long-term goals.
• Provide expert input on emerging technologies, standards, and best practices relevant to biomedical computing and data science.

Requirements

• Minimum Education and Experience: Bachelors Degree 6 years of relevant professional experience.
• Basic Requirements: Demonstrated expertise in NLP, ML/DL, image processing, high-performance computing, data visualization, or information retrieval.
• Proven track record of leading complex research or development projects in healthcare, life sciences, or public health.
• Experience with large-scale biomedical datasets, clinical data standards, and data integration techniques.
• Strong understanding of federal IT security and compliance frameworks (e.g., FISMA, FedRAMP).
• Excellent communication skills with the ability to convey complex technical information to diverse audiences.
• Must be able and willing to work onsite multiple days per week in Bethesda, MD.

Skills

• Previous experience collaborating with federal agencies, academic institutions, or healthcare organizations.
• Previous experience with NIH and specifically NLM.
• Advanced degree (preferred).