Axle
Associate Director of AI and Data
Rockville, MD · Director
Sponsorship not specifiedDetected 4 days ago
AWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningDeep LearningData EngineeringData ScienceLLMsMLOpsBusiness DevelopmentEHR/EMRBioinformaticsResearchLeadershipMentoringPublic Speaking
About the role
- We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
- In this pivotal leadership role, you will architect the future of AI-driven discovery, bridging the gap between advanced computational science and life-saving clinical research.
- You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and software architects to solve complex health challenges, such as pandemic preparedness and rare disease treatment.
Responsibilities
- You will lead "Gap Analysis" and "Risk Management" exercises to ensure all AI deployments are trustworthy and transparent.
- Petabyte-Scale Engineering: Direct the design and implementation of high-throughput data pipelines capable of ingesting and analyzing petabyte-scale datasets (genomics, proteomics, EHR).
- Operational Excellence (MLOps): Optimize MLOps and DevSecOps processes to ensure the rapid, secure deployment of models from prototype to production.
- Lead Solution Architect: Partner with the Growth and Capture teams to drive new business acquisition.
- You will serve as the Lead Solution Architect for major proposal efforts ($50M+), authoring technical volumes, developing win themes, and creating compelling solution graphics that demonstrate Axle's technical differentiation.
- Direct the design and implementation of high-throughput data pipelines capable of ingesting and analyzing petabyte-scale datasets (genomics, proteomics, EHR).
- Oversee the development of predictive models for translational science, focusing on "de-risking" drug discovery and clinical trial design.
- Partner with the Growth and Capture teams to drive new business acquisition.
- With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
- Translational Science De-risking: Oversee the development of predictive models for translational science, focusing on "de-risking" drug discovery and clinical trial design.
Skills
- Oversight of Complex Modeling & High-Dimensional Data Pipelines
- Business Development & Federal Growth (Capture Support)
Benefits
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Transportation Reimbursement Account (TRN)
- You will define the long-term vision for integrating Generative AI, Large Language Models (LLMs), and Agentic Workflows into federal research environments, moving beyond static analysis to active, AI-assisted discovery.
- This involves guiding technical teams in the application of deep learning techniques to identify molecular targets, predict therapeutic outcomes, and simulate clinical scenarios (Digital Twins).
This listing is sourced directly from Axle's careers page and normalized into a canonical job model.