Synthetic Data Engineer Specialist

Mind Moves is a women-owned Washington, D.C.-based firm helping businesses and governments to embrace, build and deploy ‘human in the loop’ AI solutions to elevate mission and value. We are pioneers with deep expertise in the field of machine learning and AI (both predictive and generative). We have delivered responsibly developed products and services that impact millions of users worldwide, while generating millions of dollars in revenue. We have worked with Fortune 500 corporations and large government entities in health care, supply chain management, financial services and life sciences. We apply a structured methodology and holistic approach to AI transformation and a broad spectrum of technical services centered in the harnessing of people, science and technology.

Designing and building synthetic data generation pipelines that produce high-fidelity, statistically representative datasets modeled on sensitive, controlled-access data sources — without exposing real participant-level information. Your synthetic datasets will let cross-functional teams prototype, test, and red-team AI/agentic systems against realistic data conditions before those systems ever touch production, controlled-access repositories.

You’ll collaborate with the Principal Investigator/Technical Lead, Biomedical Privacy & Gateway Engineer, Red-Team/Adversarial Security Lead, Cybersecurity Engineer, and the broader Mind Moves project team — while working closely with institutional stakeholders and Data Access Committees at NIH. This role offers the chance to:

Make a measurable impact on how safely AI systems handling sensitive genomic and health data can be developed and tested.

Gain hands-on experience with privacy-preserving data generation for frontier AI/ML pipelines.

Operate at the intersection of data engineering, privacy, and federal data governance in a creative, mission-driven environment.