Associate Director of AI and Data

Core Responsibilities

Strategic Leadership of the AI/ML Roadmap

• Architect and execute comprehensive AI/ML strategy aligning with NIH Strategic Plan for Data Science (2025–2030)
• Define vision for integrating Generative AI, Large Language Models (LLMs), and Agentic Workflows
• Spearhead evolution of Polus platform into multi-modal research ecosystem using Docker/Kubernetes on AWS/GCP/Azure
• Establish AI Governance frameworks using NIST AI Risk Management Framework (RMF)

Oversight of Complex Modeling & High-Dimensional Data Pipelines

• Direct petabyte-scale data pipelines for genomics, proteomics, EHR adhering to FAIR data principles
• Oversee predictive models for drug discovery using deep learning (molecular targets, Digital Twins)
• Optimize MLOps and DevSecOps processes for production deployment

Business Development & Federal Growth (Capture Support)

• Serve as Lead Solution Architect for proposals ($50M+), author technical volumes
• Build relationships with federal stakeholders (NIH Project Officers, CIOs)

Mentorship of Data Scientists & Engineers

• Manage and mentor data scientists, bioinformaticians, software engineers
• Drive Communities of Practice for Graph Neural Networks, Federated Learning
• Create low-code/no-code AI interfaces for researchers

Required Qualifications

Education

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, Data Science (highly preferred)
• Master's degree with exceptional leadership experience considered

Experience

• 8–10+ years in data science, AI/ML engineering, computational biology
• 3–5+ years leadership managing cross-functional teams
• Federal contracting experience with proposals and capture