NLM Bioinformatics Specialist and Developer (SME)

Ripple Effect•Rockville, MD

1d•Onsite

About The Position

Ripple Effect is seeking a Data Manager/SME with over 12 years of experience and an advanced degree (PhD or MD) to support the National Library of Medicine (NLM). This role is for a recognized expert in biomedical informatics, machine learning, or natural language processing who excels at solving complex challenges in public health and scientific research. The Data Manager/SME will serve as a senior-level technical advisor and thought leader, providing deep expertise in specialized domains critical to NLM's biomedical informatics, data science, and translational research initiatives. The position involves leading interdisciplinary teams and translating cutting-edge research into scalable, impactful solutions for real-world healthcare and data science applications, working closely with multidisciplinary teams to guide the design, development, and evaluation of advanced computational systems and research methodologies.

Requirements

Bachelors Degree
6 years of relevant professional experience
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
Ability to pay attention to details
Ability to clearly communicate
Ability to work independently
Eagerness to learn

Nice To Haves

Previous experience collaborating with federal agencies, academic institutions, or healthcare organizations
Previous experience with NIH and specifically NLM
Additional years of experience
Advanced degree

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.