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Ripple Effect Data Manager/SME Opportunity

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 12+ 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 sciencein its efforts to accelerate biomedical discovery and improve public health through data-powered research.

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
• Telework: None/Client Site
• Clearance: Public Trust
• Number of Openings: May have multiple openings
• Salary Range: $126,200.00 - $174,156.00

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.