Axle
Director of Data Solutions
Rockville, MD · Director
Sponsorship not specifiedDetected 84 days ago
Platform EngineeringMachine LearningData EngineeringData ScienceNLPComputer VisionRAGLLMOpsMLOpsIncident ResponseAccessibilityPerformance ManagementHL7/FHIRResearchLeadershipMentoring
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).
Responsibilities
- Own platform modernization plans and technical debt reduction sequencing.
- Make build/buy/partner decisions and establish patterns that can be reused across programs.
- Lead delivery of repeatable ingestion and transformation pipelines with testing, validation, and change control.
- Own harmonization capabilities (terminology translation, unit normalization, episode building) as production services with documentation and quality dashboards.
- Partner with governance and stakeholders to define "minimum acceptable quality" and publish transparent quality measures.
- Own GenAI patterns and platforms (RAG, agentic workflows, human-in-the-loop review, traceability, privacy safeguards) as reusable services.
- Build reusable "engines" for RWE execution: cohorting/phenotyping pipelines, reproducible protocol templates, causal inference/target trial tooling patterns, and integration templates for multiple data sources.
- Staff and support analysis pods for time-sensitive, high-stakes deliverables with rigorous QC and reproducibility practices.
- Lead simulation/modeling teams directly or via domain SMEs; ensure reproducible workflows and high quality bars.
- Partner with security/privacy to implement strong access controls, auditability, and (where needed) privacy-preserving approaches.
Requirements
- 6+ years in data science, ML engineering, data platform engineering, applied research engineering, or closely related fields
- 3+ years leading multi-disciplinary teams.
- Ability to translate ambiguous stakeholder needs into shipped products and measurable outcomes.
- Comfort operating in regulated and high-governance environments (privacy, compliance, access control).
Nice to have
- Experience shipping GenAI solutions with governance (PII handling, traceability, human review, evaluation, monitoring).
- Experience leading simulation/modeling initiatives (scientific computing, HPC workflows, domain simulations) and partnering effectively with scientific SMEs.
- Track record of publications, open-source leadership, or scientific impact.
- Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description.
- This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required.
- Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
- The diversity of Axle's employees is a tremendous asset.
Skills
- Sets technical strategy and reference architecture across modern data stacks and cloud environments.
- Identify and prioritize high-value hybrid ML+simulation opportunities.
Compensation
- $170,000 - $210,000 USD
- This role has a market-competitive salary with an anticipated base compensation range listed below.
Benefits
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Lead delivery of production AI/ML solutions (NLP, CV, predictive models, representation learning) and deploy them with evaluation and monitoring.
Equal opportunity
- If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This listing is sourced directly from Axle's careers page and normalized into a canonical job model.