Director of Data Solutions jobs in United States
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Axle · 14 hours ago

Director of Data Solutions

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. The Director of Data Solutions will lead the technical delivery of data platforms, AI/ML solutions, and advanced modeling capabilities, ensuring the development of enterprise-grade capabilities that transform complex data into trusted products.

BiotechnologyHealth CareInformation TechnologySoftware
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H1B Sponsor Likelynote

Responsibilities

Define reference architectures and technical standards for data/AI platforms (security, scalability, reliability, cost governance, developer experience)
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
Lead delivery of production AI/ML solutions (NLP, CV, predictive models, representation learning) and deploy them with evaluation and monitoring
Own GenAI patterns and platforms (RAG, agentic workflows, human-in-the-loop review, traceability, privacy safeguards) as reusable services
Establish model lifecycle governance: approvals, audits (as needed), drift monitoring, incident response, and continuous improvement
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
Define the modeling/simulation practice charter: scope, service model, standards, compute strategy (HPC/cloud), and hiring/partnering plan
Lead simulation/modeling teams directly or via domain SMEs; ensure reproducible workflows and high quality bars
Identify and prioritize high-value hybrid ML+simulation opportunities
Partner with security/privacy to implement strong access controls, auditability, and (where needed) privacy-preserving approaches
Establish operational excellence: release management, observability, on-call/incident processes (as appropriate), and runbooks
Hire, grow, and retain a high-performing organization; create clear roles, career paths, and performance expectations
Build a culture of “research-grade rigor + production-grade discipline,” emphasizing accountability, documentation, and sustainability

Qualification

Data scienceML engineeringData platform engineeringCloud deliveryHealthcare data platformsGenAI solutionsSimulation/modeling initiativesPrivacy-preserving MLPeople leadership

Required

6+ years in data science, ML engineering, data platform engineering, applied research engineering, or closely related fields
3+ years leading multi-disciplinary teams
Demonstrated success delivering production data/AI platforms (not only analyses), including architecture, delivery planning, and operational ownership
Strong familiarity with modern data stacks and cloud delivery (distributed compute, ETL/ELT, data quality tooling, MLOps/LLMOps concepts)
Ability to translate ambiguous stakeholder needs into shipped products and measurable outcomes
Strong people leadership: recruiting, coaching, performance management, org design
Comfort operating in regulated and high-governance environments (privacy, compliance, access control)

Preferred

Healthcare data platform experience, especially interoperability/harmonization at scale (OMOP/FHIR/PCORNet/CDISC) and clinical terminology systems
Experience shipping GenAI solutions with governance (PII handling, traceability, human review, evaluation, monitoring)
Experience with privacy-preserving ML patterns (federated learning/inference) and/or sensitive data platforms
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

Benefits

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts:
Healthcare (FSA)
Parking Reimbursement Account (PRK)
Dependent Care Assistant Program (DCAP)
Transportation Reimbursement Account (TRN)

Company

Axle

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At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions.

H1B Sponsorship

Axle has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (40)
2023 (61)
2022 (30)
2021 (19)
2020 (38)

Funding

Current Stage
Late Stage

Leadership Team

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Gary Mays
Chief Operating Officer
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Company data provided by crunchbase