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Data Axle Jobs (NOW HIRING)

(ID: 2026-1572) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Laboratory Technician

Rockville, MD

$19.25 - $25.75/hr

(ID: 2026-2413) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Laboratory Technician

Rockville, MD · On-site

$19.25 - $25.75/hr

(ID: 2026-2413) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and ...

(ID: 2026-1763) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Entomologist

Rockville, MD · On-site

$90K - $100K/yr

(ID: 2026-1763) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

(ID: 2026-2991) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Inner Ear Biologist

Bethesda, MD · On-site

$75K - $83K/yr

(ID: 2026-2991) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

(ID: 2025-0609) Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to ...

(ID: 2025-0609) Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to ...

Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and ...

(ID: 2026-2991) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Senior Full Stack Developer

Rockville, MD · On-site

$120K - $145K/yr

(ID: 2025-0609) Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to ...

Showing results 41-60

Data Axle information

What is Data Axle?

Data Axle is a company that specializes in providing data-driven solutions, including business and consumer data, marketing services, and analytics. They help organizations find and connect with their target audiences, improve customer insights, and enhance marketing strategies through accurate, up-to-date information. Data Axle serves businesses, nonprofits, and government agencies by offering data licensing, data processing, and campaign execution services. Their expertise lies in collecting, maintaining, and delivering high-quality data to drive better business decisions.

What are some common challenges faced by professionals working at Data Axle, and how can new hires best prepare for them?

Professionals at Data Axle often work with large volumes of complex data, which can present challenges in terms of accuracy, integration, and timely analysis. New hires should be prepared to quickly learn proprietary tools and data platforms, adapt to fast-paced project cycles, and communicate findings effectively to both technical and non-technical stakeholders. Collaborating across teams—such as engineering, sales, and product development—is key, so strong interpersonal skills and a proactive approach to problem-solving are highly valued. Familiarizing yourself with industry best practices in data management and staying current with analytics trends can help new team members thrive.

What is the difference between Data Axle vs Data Analyst?

AspectData AxleData Analyst
Primary RoleProvides data solutions, database management, and data services for businessesAnalyzes data to generate insights, reports, and support decision-making
Required SkillsData management, database tools, data integrationStatistical analysis, data visualization, Excel, SQL
Work EnvironmentData service companies, marketing firms, data providersCorporate offices, consulting firms, various industries
CertificationsOften not required, but data management certifications helpfulCertifications like Microsoft Excel, SQL, or data analysis courses

Data Axle focuses on providing data management and database solutions, while Data Analysts primarily interpret data to support business decisions. Both roles require data skills but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a data analyst at Data Axle?

To thrive as a Data Analyst at Data Axle, you need strong analytical skills, experience with data manipulation, and a background in statistics or a related field, often supported by a relevant degree. Proficiency with tools like SQL, Excel, and data visualization platforms such as Tableau or Power BI is commonly required. Excellent problem-solving, communication, and attention to detail are vital soft skills for interpreting data and presenting actionable insights. These skills are crucial for transforming complex data into strategic recommendations that drive business decision-making and client solutions.
More about Data Axle jobs
What cities are hiring for Data Axle jobs? Cities with the most Data Axle job openings:
What states have the most Data Axle jobs? States with the most job openings for Data Axle jobs include:
Infographic showing various Data Axle job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Director of Data Solutions

Axle

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

(ID: 2026-1572)
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. 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. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
  • 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)

The Director of Data Solutions is the senior technical delivery leader for data platforms, AI/ML solutions (including GenAI), and advanced modeling/simulation capabilities. This leader owns the "how and when" of building reusable, enterprise-grade capabilities that turn complex, multi-modal data into trusted products and measurable outcomes.
In practice, this role:
  • Sets technical strategy and reference architecture across modern data stacks and cloud environments.
  • Leads cross-functional teams (data engineering, ML engineering, applied science, software engineering) to ship and operate production systems.
  • Establishes an organization-wide modeling and simulation practice that ensures reproducibility, compute strategy, and strong quality standards.

KEY RESPONSIBILITIES
Technical strategy & architecture
  • 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.
Interoperability, harmonization & data quality
  • 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.
AI/ML and GenAI solution delivery
  • 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.
Real-world evidence enablement engines
  • 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.
Simulations & modeling practice leadership
  • 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.
Privacy, security & operational excellence
  • 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.
People leadership & culture
  • 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.

REQUIRED QUALIFICATIONS
  • 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 QUALIFICATIONS
  • 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.

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. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
#IND
Salary Range
$170,000-$210,000 USD