Job Description
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 Customer, 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 based in the DC/Maryland/Virginia area, or at least within the Eastern time zone, are preferred.
Responsibilities - Deliver 'knowledge sessions' 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
- 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 Work Authorization
- 7+ years professional experience
- Experience with Generative AI (e.g. Large Language Models)
- Background, education, or experience working in life sciences, preferably the biomedical or bioinformatics space
- Previous experience moving ideas through an innovation pipeline from proof of concept to MVP to full scale deployment
- Proficiency in Python and machine learning frameworks like SKLearn, and PyTorch
- Proficiency with relational database systems (SQL) and object-based data stores
- Experience with cloud platforms such as Azure, AWS, or Google Cloud
- Proficient in Git and version control
- Competent in maintaining and optimizing infrastructure for data collection, management, and transformation
- Experience building models and architecture to support natural language processing and/or automation tasks
- Experience with optimizing and tuning models for efficient execution
- Ability to evaluate models in terms of efficacy while being mindful of best practices with responsible AI
- Demonstrated experience building ML solutions from technical design to operational deployment
- Demonstrated experience designing, implementing, or integrating agentic AI workflows (e.g., multi-step reasoning, tool-calling, or task orchestration across systems) to automate complex business or research processes.
- Ability to support end users with code reviews, debugging, and troubleshooting issues
- Ability to apply emergent DS/ML techniques (like RAG, and prompt engineering) to solve business/operational problems
- Understanding of a Software Development Lifecycle, including agile/SCRUM methodology
- Excellent communication skills, including fluency in English
- A degree in Computer Science, Mathematics, or Artificial Intelligence
- Maryland/Virginia/DC area of location or Eastern time zone or willing to travel on an ad hoc basis
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
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