Telecommut
Location: Bethesda, MD (On-site, Remote eligible)
Company: N4 Solutions, LLC
Client: National Institute of General Medical Sciences (NIGMS), Division of Data Integration, Modeling, and Analytics (DIMA)
Role: Data Analyst
Key Responsibilities
- Design, develop, and implement ML, NLP, AI, LLM, and generative AI solutions for grant and portfolio management.
- Develop and maintain algorithms using NLP and ML methodologies (transformer models, topic modeling, clustering, document embeddings, predictive analytics).
- Build supervised/unsupervised ML models for portfolio characterization and grant decision-making.
- Develop and maintain code/pipelines in Python, R, SQL for structured/unstructured data processing.
- Extract and integrate data from internal databases, APIs, and public sources.
- Create dashboards, visualizations, and reports for decision support.
- Support reviewer matching and portfolio analyses via predictive modeling.
- Document methodologies and workflows for reproducibility and knowledge transfer.
- Present findings to stakeholders; provide AI/NLP guidance.
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Computational Biology, Bioinformatics, Biology, or related field.
- 3-5 years experience in ML, AI, data science, or predictive analytics.
- Proven experience with ML and NLP methodologies.
- Proficiency in Python, SQL, and R.
- Strong analytical/problem-solving and communication skills.
- U.S. Citizenship required.
- Experience with NIH or other HHS agencies.
- Advanced degree (Master's/PhD) preferred.
- Experience with ML libraries (PyTorch, TensorFlow, Keras, scikit-learn).
- Experience with OpenAI platforms, Azure AI, AWS, or LLMs highly desirable.
- Tableau or similar visualization tools preferred.
- Familiarity with scientific research, biomedical data, grants management, or federal government environments.
Machine Learning & Artificial Intelligence
Discover more
Machine Learning
Programming
Text & Instant Messaging
Clearance: U.S. Citizenship required
Telework: Eligible
