Help guide a group of cross-functional teams as they move their use cases from idea to shaping a use case to Minimum Viable Product (MVP). These teams will consist of various members from different institutes or centers of the end client and as such, propose use cases that are typically in the medical research or public health space, for internal or external audiences. Collaborate with client leads, business operators, fellow consultants, and the project team, while working closely with world-leading scientists. Make a measurable impact on scientific discovery and public health. Gain hands-on experience with frontier AI/ML technologies. Operate at the intersection of health, data, and AI in a creative, mission-driven environment. Candidates must be based in the US and work in EST hours with some flexibility.

Responsibilities

Deliver 'knowledge sessions' to teams to familiarize and give working knowledge to teams Assist in data engineering and preparation tasks to enable teams who may not have engineering resources to utilize their data or new data sources Rapidly develop proof-of-concept AI prototypes and functional demos to validate use cases, accelerate stakeholder buy-in Demonstrate iterative value creation across team capabilities Collaborate with cross-functional teams across federal agencies and supporting partners Design solutions with defined requirements Innovate 'outside-of-the-box' while accounting for risk Articulate the art of the impossible and lead to the edge of the frontier of innovation

Requirements

US Citizenship 7+ years professional experience in Data Science, Machine Learning, or AI Engineering Azure expertise is essential: deep, hands-on experience with Azure AI Foundry, Azure OpenAI Service, Azure Cosmos DB, and the M365 ecosystem (Teams, SharePoint, Copilot); general cloud experience is not sufficient Production-level RAG implementation: retrieval strategy, relevance ranking, chunking, access-controlled data filtering, and evaluation; this is a non-negotiable core requirement Strong GenAI/LLM depth: prompt engineering, model selection and strategy, structure outputs, evaluation frameworks, and guardrails Demonstrated experience designing and orchestrating agentic AI workflows, using LangChain, AutoGen, or Microsoft Semantic Kernel Knowledge graph/graph database experience (Neo4j or Azure Cosmos DB with graph API), entity modeling, relationship design, query and visualization Databricks and MCP integration experience Data engineering and ETL: pipeline design, API integration, backend development AI governance aligned with NIST AI RMF, Client requirements, including human-in-the-loop workflow design and RBAC in federal environments Proficiency in Python, PyTorch, and SQL Background or experience in biomedical, bioinformatics, or life sciences preferred Experience taking solutions from proof of concept through MVP to production deployment Strong communication skills; ability to lead knowledge sessions with non-technical stakeholders

About Us

For more than 20 years, NewGen Technologies has solved our clients’ toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ