NLM Subject Matter Expert in Medical Informatics

Are you a recognized expert in biomedical informatics, machine learning, or natural language processing who thrives on solving complex challenges in public health and scientific research? Do you enjoy leading interdisciplinary teams and translating cutting‑edge research into scalable, impactful solutions for real‑world healthcare and data science applications? Ripple Effect is looking for a Data Manager/SME with 5+ years of experience and an advanced degree (PhD or MD) to support our client’s mission. The Data Manager/SME will play a key role in supporting the National Library of Medicine (NLM)—a global leader in biomedical research and data science—in its efforts to accelerate biomedical discovery and improve public health through data‑powered research at the National Library of Medicine (NLM). This role will serve as a senior‑level technical advisor and thought leader, providing deep expertise in specialized domains critical to the NLM’s biomedical informatics, data science, and translational research initiatives. The Data Manager/SME will work closely with multidisciplinary teams to guide the design, development, and evaluation of advanced computational systems and research methodologies. If this position sounds of interest, there’s a place for you here at Ripple Effect! We offer a diverse and engaging work environment, with a multitude of incentives and flexible work options that work for you and your lifestyle. General Information Job Code : SHR‑DM‑05/06T Location : Client/NIH Main Campus/Unmapped Employee Type : Exempt, Full-Time Regular (Ask our recruiters about flexible work arrangements) Telework : Partial/Client Site Clearance : Public Trust Number of Openings : may have multiple openings Salary Range : $126,200.00 - $174,156.00 (how we pay and promote) Responsibilities Technical Leadership & Innovation: 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. Research & Development Support: 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. System Architecture & Integration: 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. Evaluation & Analysis: 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. Mentorship & Knowledge Transfer: 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. Strategic Planning & Advisory: 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 12 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 To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what makes Ripple so great check out our capabilities. Skills That Set You Apart Previous experience collaborating with federal agencies, academic institutions, or healthcare organizations Previous experience with NIH and specifically NLM If you don’t have all of the skills above, don’t be discouraged—no resume paints a complete picture of a person. There’s a good chance you’re more wonderful than you think, so please apply! About Ripple Effect Ripple Effect is an award‑winning women‑owned small business providing professional consulting and exceptional talent for federal, private, and non‑profit clients. We deliver multi‑disciplinary solutions across Communications & Outreach, Research & Evaluation, Program Management & Policy, Digital Transformation, and Technical & Scientific Support solutions with a focus on science, research, and healthcare domains. Hiring Process | Life at Ripple Benefits Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences. Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at View email address on click.appcast.io or your recruiter. 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