Lead AI Data Engineer (Hybrid)

About The Position

The Lead AI Data Engineer serves as a scientific, technical, and managerial lead for data-heavy research projects. The Lead AI Data Engineer will overlap with a multidisciplinary team of government and contract researchers, academic experts and consumers. The Lead AI Data Engineer will provide technical and management support, oversee project execution, and provide key guidance on data architecture and infrastructure. The team that the Lead AI Data Engineer oversees is responsible for the curation and maintenance of large data pipelines, developing ETL pipelines, defining schemas, identifying bottlenecks, and deriving variables /features directly used in machine learning / AI model development. The Lead AI Data Engineer serves as a versatile position who designs, builds, and maintains the entire data ecosystem. As project aims evolve, collaborators join, and team processes change, an ideal candidate is flexible and can adapt quickly. The ideal candidate will also be mindful of data privacy / security and will adhere to data governance and data management best practices.

This is a full time hybrid remote position working at the Walter Reed National Military Medical Center in Bethesda, MD that will require working in office/on site at least 2 days per week. Background checks will be administered.

About The Program

Sleep Physiology Modeling Project: Sleep & Wearables Operational Readiness for Research & Defense (SWORD) Lab

Salary Range

$155,000 - $193,000. Salaries are determined based on several factors including external market data, internal equity, and the candidate’s related knowledge, skills, and abilities for the position.Qualifications

• PhD in a relevant field (e.g., Computer Science, Engineering, Data Science, Biomedical Engineering) required
• 8+ years experience with multimodal data analysis and data pipeline engineering required
• Proven experience with multivariate signal proce