Health AI ML Data Scientist

Job Family:
Data Science & Analysis Travel Required:
None Clearance Required:
Ability to Obtain Public Trust What You Will Do:

- Design, develop, implement, and maintain AI and machine learning solutions that improve healthcare, public health, biomedical research, and operational decision-making.

- Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity.

- Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions.

- Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques.

- Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data.

- Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms.

- Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness.

- Collaborate with epidemiologists, researchers, engineers, program staff, and business stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions.

- Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences.

- Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices.

- Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle.

- Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate.

What You Will Need:

- Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience).

- Experience developing AI and machine learning solutions using Python and common data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar frameworks.

- Experience applying AI to automate workflows, improve business processes, or enhance operational efficiency.

- Experience developing Generative AI applications using large language models (LLMs), prompt engineering, retrieval augmented generation (RAG), or similar techniques.

- Experience developing statistical models, predictive analytics, classification, clustering, regression, or natural language processing (NLP) solutions.

- Strong SQL skills and experience working with relational databases and cloud-based data platforms.

- Experience preparing, integrating, transforming, and analyzing structured and unstructured data to support AI, machine learning, and advanced analytics solutions.

- Experience deploying AI or machine learning solutions into production environments.

- Understanding of responsible AI principles, model evaluation, explainability, governance, and human oversight.

- Experience working in Agile software development environments and fast-paced, matrixed organizations

- Strong analytical, problem-solving, written, and verbal communication skills.

- Ability to work independently and collaboratively in multidisciplinary technical teams.

- U.S. Citizenship required.

- Ability to obtain and maintain a Public Trust or higher federal security clearance, as required.

What Would Be Nice To Have:

- Experience implementing AI copilots, intelligent assistants, AI agent