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Job Location: Rockville, MD

Assistant Director of AI and Data

(ID: 2026-1573)

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)

 

Axle is seeking a visionary and operationally astute Assistant Director of Artificial Intelligence, Modeling, and Data to lead our charge at the frontier of biomedical innovation. 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.

 

Sitting at the nexus of our Data Science and Biomedical Research divisions, you will oversee the strategic development and deployment of high-performance AI/ML solutions that empower federal health agencies, including the National Institutes of Health (NIH) and the National Center for Advancing Translational Sciences (NCATS). You will be the technical conscience and strategic driver for a diverse portfolio of projects, ranging from the optimization of our open-source Polus platform to the implementation of Generative AI pipelines for drug discovery and high-dimensional data analysis.

 

This is not merely a management role; it is a mission-critical position for a leader who is passionate about the “public good” of science. 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. As an Assistant Director, you will combine deep technical expertise with executive presence, serving as a trusted advisor to government stakeholders and a key architect of Axle’s long-term growth in the federal health IT sector.

 

Core Responsibilities:

1. Strategic Leadership of the AI/ML Roadmap

  • Visionary Architecture: Architect and execute a comprehensive AI/ML strategy that aligns Axle’s technical capabilities with the NIH Strategic Plan for Data Science (2025–2030). 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.

  • Platform Evolution (Polus): Spearhead the evolution of the Polus platform, transitioning it from a robust image analysis tool into a fully integrated, multi-modal research ecosystem. You will oversee the roadmap for new feature development, ensuring scalability, security, and interoperability across cloud environments (AWS/GCP/Azure) using containerized architectures (Docker/Kubernetes).

  • AI Governance & Compliance: Establish and enforce rigorous AI Governance frameworks. You will operationalize the NIST AI Risk Management Framework (RMF) across all projects to ensure fairness, interpretability, and compliance with federal ethical standards. You will lead “Gap Analysis” and “Risk Management” exercises to ensure all AI deployments are trustworthy and transparent.

 

2. Oversight of Complex Modeling & High-Dimensional Data Pipelines

  • Petabyte-Scale Engineering: Direct the design and implementation of high-throughput data pipelines capable of ingesting and analyzing petabyte-scale datasets (genomics, proteomics, EHR). You will ensure these systems adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable), facilitating seamless data sharing across NIH institutes and global research centers.

  • Translational Science De-risking: Oversee the development of predictive models for translational science, focusing on “de-risking” drug discovery and clinical trial design. 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).

  • Operational Excellence (MLOps): Optimize MLOps and DevSecOps processes to ensure the rapid, secure deployment of models from prototype to production. You will champion a culture of “automation first,” reducing time-to-insight for researchers by streamlining the transition from Jupyter notebooks to containerized, cloud-native services.

 

3. Business Development & Federal Growth (Capture Support)

  • 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.

  • Proposal Authorship: Personally write key sections of technical proposals, including the “Technical Approach,” “Staffing Plan,” and “Risk Mitigation” volumes. You will translate complex agency requirements into winning narratives that score highly with federal evaluators.

  • Client Liaison: Galvanize relationships with key federal stakeholders (Project Officers, CIOs, Lab Chiefs). You will act as the primary technical liaison, translating complex agency requirements into deliverable technical solutions and presenting these visions in competitive “Black Hat” sessions and oral presentations.

 

4. Mentorship of Data Scientists & Engineers

  • Interdisciplinary Team Building: Cultivate a high-performance, interdisciplinary team culture. You will manage and mentor a diverse group of data scientists, bioinformaticians, and software engineers, fostering an environment of psychological safety where “expert” scientific knowledge seamlessly integrates with “agile” engineering practices.

  • Continuous Learning: Drive continuous learning and upskilling initiatives. You will establish internal “Communities of Practice” for AI and Data Science, ensuring that Axle’s workforce remains at the bleeding edge of technologies like Graph Neural Networks and Federated Learning.

  • Democratization of AI: Democratize access to AI tools within the client environment. You will lead efforts to create “low-code/no-code” interfaces and training programs that empower non-technical NIH researchers to utilize advanced analytics independently.

 

Required Qualifications: To effectively lead in this high-stakes environment, candidates must possess a rare combination of advanced academic training and battle-tested industry experience.

 

Education:

  • Ph.D. in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related quantitative discipline is highly preferred to ensure peer-level credibility with NIH scientists.

  • Alternatively, a Master’s degree in one of the above fields with exceptional, demonstrated leadership experience in a federal or research-intensive setting will be considered.

 

Experience:

  • 8–10+ years of progressive experience in data science, AI/ML engineering, or computational biology, with a focus on high-dimensional data.

  • 3–5+ years of leadership experience managing cross-functional teams (e.g., managing both PhD researchers and software developers) in a matrixed organization.

  • Federal Contracting Experience: Demonstrated experience with Federal Business Development, including writing technical proposals and supporting capture activities for contracts valued at $15M+.

  • Regulatory Experience: Proven track record of delivering complex AI/ML solutions in a regulated environment, with specific familiarity with HIPAA, FedRAMP, or NIST AI RMF compliance.

 

Technical Skills: The Assistant Director must possess deep, hands-on technical fluency to command respect from engineering teams and validate architectural decisions.

  • Core AI/ML: Expert-level understanding of Deep Learning frameworks (PyTorch, TensorFlow), Classical Machine Learning (Scikit-Learn), and Generative AI architectures (Transformers, LLMs, RAG).

  • Languages: Proficiency in Python (primary) and R (secondary); familiarity with Java or C++ (for Polus backend optimization) is a strong plus.

  • Cloud Architecture: Extensive experience with Cloud-Native AI pipelines on AWS (SageMaker, HealthLake), GCP (Vertex AI, BigQuery), or Azure. Knowledge of the NIH STRIDES initiative and cloud economics is essential.

  • Data Engineering: Mastery of big data technologies (Spark, Databricks) and workflow orchestration tools (Airflow, Nextflow, Cromwell).

  • MLOps & DevOps: Strong knowledge of containerization (Docker, Kubernetes), CI/CD pipelines (GitHub Actions, Jenkins), and model monitoring/governance tools.

  • Visualization & Platforms: Experience with advanced visualization tools (DeepZoom, WebGL) and platform development (building APIs, microservices).

 

Preferred Skills: Candidates with the following specific experiences will be given immediate priority:

  • NIH Ecosystem Experience: Direct experience working with NIH, NCATS, NIAID, or similar federal health agencies. Understanding of the specific data challenges within the federal health sector is highly valued.

  • Open Source Leadership: Contributions to or leadership of open-source scientific software projects. Specific familiarity with the Polus platform or the National COVID Cohort Collaborative (N3C) data enclave is a distinct advantage.

  • NIST AI RMF Practitioner: Demonstrated experience implementing the NIST AI Risk Management Framework (Map, Measure, Manage, Govern) in a real-world setting.

  • Domain Expertise: Specialized knowledge in High-Content Imaging, Cheminformatics, Genomics, or Real-World Data (RWD) analytics.

 

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
$150,000—$190,000 USD

Senior Clinical Research Advisor

(ID: 2026-1580)

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)

 

Axle is seeking a Senior Clinical Research Advisor to join our vibrant program team supporting the National Center for Advancing Translational Sciences (NCATS), Division of Clinical Innovation (DCI), Clinical and Translational Science Awards (CTSA) Program located in Bethesda, MD. The CTSA Program is the single largest research program at the National Institutes of Health (NIH). Through this program, the Division of Clinical Innovation (DCI) within NCATS invests annually to promote new methods and technologies that address bottlenecks and enhance the translational research pipeline to speed the delivery of new drugs, diagnostics and medical devices to patients. Currently, more than 50 medical research institutions across the nation receive CTSA Program funding toward this mission.

The selected individual shall provide the DCI Director with senior-level scientific program support in accomplishing the CTSA goals and objectives. 
 
Responsibilities:

  • Perform scientific program management support services virtually and/or onsite at the NIH in coordination with the DCI Director.
  • Apply expert knowledge and educational background in clinical research and translational medicine to support and coordinate vital activities executed by the DCI Trial Innovation Network (TIN), including surveillance of 50+ program hub award institutions.
  • Collaborate with NCATS and DCI to develop new TIN Funding Opportunity Announcements (FOAs).
  • Explore and contrast existing NIH funding mechanisms as potential formats.
  • Collaborate with DCI staff to gather data pertinent to the development of new TIN FOA(s).
  • Analyze data and identify gaps and opportunities.
  • Identify opportunities for synergy and collaboration with external stakeholders.
  • Collaborate with the NIH Office of Extramural Research (OER), program, and review staff to obtain necessary information.
  • Establish and oversee DCI working groups to review and make recommendations regarding existing and new TIN FOA components.
  • Develop presentations and reports; develop metrics for strategic management of the TIN.
  • Support the administration of several large awards in the TIN program.
  • Contribute expertise and knowledge to DCI in support of its efforts to foster innovation and deliver national leadership in the growing area of clinical and translational science (CTS), which is a distinct research discipline.
  • Participate with DCI leadership in expanding its advocacy and sponsorship of initiatives related to excellence in data management and innovative approaches to the management and standardization of translational research data.
  • Assist in expanding DCI’s collaboration with other NIH Institutes/Centers (ICs) and the scientists they support, and foster efforts that strengthen communication among stakeholders across the clinical spectrum, including patients, industry, and regulators.

 
Qualifications:  

  • Medical degree from an accredited university.
  • Board certified and licensed in a medical-related field or D.D.S. in a state, territory or commonwealth of the United States or District of Columbia.
  • Ten (10) years of experience in clinical trial research.
  • Required prior involvement in clinical trials as an investigator or medical monitor.
  • Well-versed in multiple disciplines, including the broad application of information technology; interpretation of information from a wide variety of sources including biological sequences and molecules; potential research uses of electronic health records (EHR); and issues related to clinical studies, clinical trials, and rare diseases.
  • Familiar with National Institutes of Health (NIH) and Department of Health and Human Services (HHS) human subjects’ policies; Institutional Review Board (IRB) policies and subject safety; and data sharing and confidentiality issues.
  • Familiar with specific NIH grant mechanisms (e.g. UM1, U24, etc.).
  • Expertise in clinical trials, basic research, management of large networks, and have regulatory experience.
  • Expert knowledge of clinical research and care in academic and/or community clinical settings.
  • Educational background and training in clinical medicine are paramount.
  • Experience in establishing and promoting a vision of innovation in the growing area of clinical and translational science is critical.
  • Demonstrated track record of applying translational science concepts to deliver innovative solutions to clinical research problems while working collaboratively and utilizing a consultative approach to problem solving and decision.

 

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
$180,000—$210,000 USD

Director of Data Solutions

(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

RWD Program Lead

(ID: 2026-1574)

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 Real-World Data (RWD) Program Lead is accountable for the mission, partner ecosystem, governance, and outcomes of a national-scale clinical data and analytics capability that enables high-impact translational research and evidence generation.

 

This leader partners with clients and stakeholder organizations (e.g., federal sponsors, academic medical centers, health systems, research networks) to co‑define and evolve the platform’s:

  • Multi‑year strategy and operating model
  • Outcome-based priorities and success measures (e.g., adoption, time-to-access, data quality, study throughput)
  • High level architecture and approach for the platform and its various components
  • High level understanding of legal and regulatory hurdles of RWD programs
  • Research enablement agenda (what types of evidence and capabilities the platform must support)

 

This role serves as the senior client-facing leader for a national-scale real-world data program. The role partners closely with clients, sponsors, and stakeholders to collaboratively define multi-year strategy, outcome-based priorities, success measures, and governance approaches. Through these partnerships, the role ensures alignment between stakeholder goals, scientific impact, trust, and long-term platform sustainability.

The role leads the “what and why” of the platform, translating client needs into clear strategic direction, adoption goals, and high-level architectural intent. The role works in close collaboration with senior technical delivery leaders, architects, and data science and engineering teams who own detailed design and implementation, ensuring that execution remains aligned with client-defined priorities, governance expectations, and desired outcomes.
 

KEY RESPONSIBILITIES

Client partnership, strategy, and success measures

  • Work with clients and stakeholder leaders to co‑define and refresh a multi‑year strategy for a national-scale RWD platform/program.

  • Translate the jointly defined strategy into outcome-based priorities, quarterly objectives, and measurable success metrics.

  • Facilitate decision-making on tradeoffs (scope, speed, risk, cost) while maintaining stakeholder alignment and trust.

National stakeholder ecosystem leadership

  • Serve as a senior strategic partner and trusted advisor to a nationwide community of stakeholders (executive leaders at partner institutions, sponsors, research community leaders).

  • Act as the “front door” for the platform/program: establish credibility, manage expectations, and align priorities across diverse partners.

  • Lead stakeholder communications: executive updates, community-facing narratives, and transparent change management.

Governance, ethics, privacy, and compliance

  • Establish and operate governance frameworks that enable compliant, ethical use of patient data under standards such as HIPAA and the Common Rule (as applicable).

  • Oversee and continuously improve data access and use processes (e.g., master data sharing terms, data access committee review, auditing, and monitoring).

  • Partner with privacy/security/legal teams to maintain a strong risk posture while enabling research speed and usability.

Program and product leadership (the “what/why”)

  • With clients and internal leadership, define the program’s roadmap outcomes across:

    • data warehouse evolution and scalability

    • semantic layer and cohort discovery usability

    • data quality and completeness improvements

    • modernization priorities and technical debt reduction goals

  • Partner with the senior technical delivery leader to ensure roadmap feasibility, sequencing, and delivery accountability.

Research enablement and scientific impact

  • Shape (with clients and scientific leadership) the set of core analytical capabilities the platform must support (e.g., reproducible RWD workflows, cohort definitions, phenotyping, causal inference methods).

  • Ensure research outputs are operationally supported: study intake pathways, reproducibility expectations, and publication/communication readiness.

  • Promote responsible innovation (including AI/automation) through clear governance, transparency, and evaluation.

Operating model and execution leadership

  • Lead a cross-functional internal/external operating model (engineers, scientists, contractors, operations) to deliver on outcomes.

  • Establish a rhythm of business: steering cadence, decision logs, backlog governance, status reporting, and risk/issue management.

  • Manage program-level dependencies, vendor/contractor performance (as applicable), and budget/resource alignment.

REQUIRED QUALIFICATIONS

  • 10+ years of progressively responsible experience in health data, research informatics, clinical analytics, RWD programs, or related domains.

  • Demonstrated success leading large, multi-stakeholder programs or consortia (multi-institution, national, or enterprise-scale), including governance and operating cadence.

  • Proven ability to partner with clients/sponsors to define strategy, priorities, and success measures—then drive execution against them.

  • Experience establishing or operating data governance and data access processes (e.g., data sharing terms, access committees, privacy review, auditing).

  • Comfort leading within regulated environments involving sensitive health data; working fluency with privacy and compliance concepts (HIPAA/Common Rule, de-identification/limited datasets, etc., as applicable).

  • Strong communication skills: can translate complex topics into executive-ready narratives; credible with senior scientific and operational leaders.

  • Demonstrated leadership of cross-functional teams (internal and external), including conflict resolution and stakeholder alignment.

PREFERRED QUALIFICATIONS

  • Experience with national or multi-site clinical data networks, research consortia, public-private partnerships, or large-scale translational research programs.

  • Working familiarity with common clinical data standards and interoperability concepts (e.g., OMOP, FHIR, PCORNet; terminology systems such as ICD-10, SNOMED, LOINC, RxNorm).

  • Track record of enabling reproducible evidence generation (e.g., pragmatic trials, target trial emulation, observational causal inference, high-impact RWE/RWD studies).

  • Experience partnering with cloud/data platform teams and product organizations (even if not hands-on engineering).

  • Experience implementing AI/automation governance for clinical or research analytics (model transparency, evaluation, safety review, monitoring).

  • Advanced degree in a relevant field (public health, informatics, biostatistics, data science, medicine, or related) or equivalent experience.

 

 

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
$150,000—$190,000 USD

Biologist

(ID: 2025-0444)

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 around the globe. 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:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Match
  • Tuition reimbursement and professional development opportunities
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Overview

Axle is looking to add a driven, flexible, organized, and meticulous Biologist to our dynamic team. The Contractor(s) shall provide services in support of the overall functions of the Vaccine Research Center (VRC), Vaccine Production Program (VPP).

 

Technical Requirements:

 

  • Support the Cell Culture Development (upstream) group of the Vaccine Production Program (VPP) at the Vaccine Research Center.
  • Perform development studies of cell culture processes for VRC clinical vaccine or therapeutic candidates and support tech transfer to the VCMP for clinical material generation for the VRC.
    • The vaccine candidates may include viral vaccines, recombinant proteins and/or virus- like particles, or monoclonal antibodies.
    • The cell culture processes may include process development and scale up mediated by microbial (bacterial, yeast) and mammalian cell expression systems.
  • Capture results in lab notebooks and contribute (by authoring or reviewing) technical documents such as Process Descriptions, SOPs, and Technical Reports.
  • Operate bioreactors (set-up, batch, monitor, harvest, and break down) other cell culture equipment (e.g. metabolite analyzers).
  • Participate in internal project and laboratory meetings, keep current with compliance obligations, and have shared responsibility for maintenance of common laboratory equipment and designated areas.
  • Perform extended-duration culture to improve culture productivity.
  • Perform novel transient transfection studies via ATF-based media exchange.
  • Independently design experimental studies, including statistical analysis like design-of- experiments (DoE).
  • Participate in inter-department planning, data presentations, and material transfer coordination.
  • Assist junior associates in experimental set-up and data analysis.
  • Support tech transfer and/or regulatory submissions by authoring process descriptions, study reports, and other IND-supporting documents.

 

Specific Qualifications:

 

  • BS in a Biochemistry, Chemical Engineering, Bioengineering, or other life sciences is required.
  • Minimum of twelve (12) years of experience in mammalian and/or microbial cell culture development is required.
  • Experience with statistics-based experimental design software, including JMP and/or SAS is required.

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 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

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individual’s 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.

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.

Salary Range
$80,000—$90,000 USD

Program Support Specialist

(ID: 2026-1507)

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 healthcare organizations around the globe. 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 premier research organizations and facilities including multiple institutes at the National Institutes of Health (NIH) and other public and private organizations. 

Benefits We Offer:

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

 

Summary

The Program Support Specialist provides comprehensive support to Axle programs supporting government contracts. This role serves as a key liaison between Axle corporate teams, program staff, and government clients, ensuring smooth daily operations, compliance with contract requirements, and effective coordination of people, processes, and projects.

 

 

Key Responsibilities

  • Serve as a primary point of contact for Axle employees and provide day-to-day program support.
  • Coordinate and support project and task-level activities, ensuring alignment with contract requirements, timelines, and deliverables.
  • Work closely with project teams and leadership to track action items, support reporting needs, and assist with project coordination efforts.
  • Develop, maintain, and update program documentation, technical documentation, and Standard Operating Procedures (SOPs).
  • Establish and maintain strong working relationships with diverse internal and external stakeholders to support successful program and project execution.
  • Act as a liaison between program staff and Axle Corporate HR regarding benefits, HR inquiries, onboarding, and personnel-related matters.
  • Conduct new employee orientations and support onboarding activities.
  • Coordinate annual performance review processes, including scheduling, tracking, and documentation.
  • Review, approve, and track employee timesheets.
  • Coordinate employee travel and training requests, ensuring compliance with policies and procedures.

 

Qualifications

  • 5-7+ years of experience in project management, administration, and employee relations.
  • Demonstrated ability to interface professionally with government clients, managers, and staff at all levels.
  • Exceptional attention to detail with the ability to manage multiple priorities in a fast-paced environment.
  • Proactive, self-motivated, and able to anticipate program and business unit needs.
  • Excellent interpersonal, oral, and written communication skills.
  • Strong organizational and multitasking capabilities.
  • Proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint).
  • Prior experience supporting government contracts is preferred but not required.
  • Bachelor’s degree in Business Administration or a related field required.
  • This position is required to report onsite to an Axle corporate office in Rockville, MD or Frederick, MD 5 days/week.

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 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

Disclaimer: The above is meant to illustrate the general nature of work and level of effort being performed by individual’s assigned to this position or job. 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 or responsibilities as needed.

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
$70,000—$80,000 USD

Senior Scientist – High Content Screening

(ID: 2025-1339)

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)

 

Axle is seeking a Senior Scientist highly experienced in High Content Screening (HCS) to support research programs within the Department of Preclinical Innovation (DPI) at the National Center for Advancing Translational Sciences (NCATS). The scientist will provide advanced expertise in quantitative image-based cell assays, high-content screening technologies, and data analysis to enable translational research efforts across NCATS. The role involves close collaboration with NCATS investigators, technical leadership in HCS assay development, and stewardship of complex screening and computational infrastructure.

 

Key Responsibilities

High Content Screening and Assay Development

  • Design, optimize, and execute quantitative cell-based and image-based assays for high-content screening applications, specifically with small molecules or siRNAs

  • Support assays using a range of biological model systems, including 2D cultures, 3D spheroids, and organoid models, with demonstrated experience supporting stem cell-derived and disease-relevant models.

  • Select and configure appropriate automated microscopy systems, plate readers, and acquisition parameters to ensure optimal data quality, specifically Revvity Opera Phenix, Molecular Devices ImageXpress, and additional imaging systems in use at NCATS, including non-HCS microscopy platforms that support complementary assay development and translational research.

  • Provide scientific and technical guidance on assay design, feasibility, and interpretation of screening results.

  • Support primary, secondary, and mechanistic follow-up screens, including dose–response studies.

Image Analysis and Data Science

  • Develop, implement, and maintain image analysis workflows using both commercial HCS platforms, such as Revvity Signals Image Artist and Revvity Columbus and open-source software.

  • Create custom analytical solutions when commercial tools are insufficient, including:

  • Classical image processing and statistical methods

  • Machine learning-based approaches for segmentation, feature extraction, and phenotypic classification

  • Analyze large, high-dimensional datasets and present results to NCATS investigators and project teams.

  • Apply supervised and unsupervised learning methods to support mechanism-of-action studies and phenotypic profiling.

HCS Infrastructure and Computational Support

  • Support and help maintain state-of-the-art HCS infrastructure, including automated microscopes, robotic liquid handling systems, and associated software.

  • Collaborate with NCATS IT and informatics teams to ensure appropriate data storage, networking, security, and high-performance computing solutions for large image datasets.

  • Assist with evaluation, integration, and validation of new instrumentation, software, and analytical platforms.

Collaboration, Training, and Leadership

  • Work closely with NCATS biologists, project leads, and technical staff to understand scientific goals and technical requirements.

  • Train and mentor NCATS researchers in the effective use of HCS instrumentation, software tools, and analytical methods.

  • Organize and spearhead imaging workshops and technical training sessions in collaboration with commercial imaging and analysis vendors and internal stakeholders to introduce, evaluate, and disseminate advanced microscopy and high-content screening methodologies to NCATS researchers.

  • Provide day-to-day technical support as well as sustained scientific collaboration on long-term projects.

  • Contribute intellectual input to experimental design, analysis strategies, and interpretation of complex datasets.

 

Scientific Contributions

  • Support collaborative research efforts that lead to peer-reviewed publications, reports, and internal deliverables.

  • Assist in the dissemination and adoption of advanced HCS methodologies across NCATS research teams.

  • Promote best practices in quantitative imaging, data quality, and reproducibility.

 

Required Qualifications

  • PhD in cell biology, biomedical engineering, bioengineering, computational biology, biophysics, or a related scientific discipline.

  • 8+ years of post-PhD research or professional experience in high-content screening or quantitative image-based assays.

  • Extensive hands-on experience designing and executing cell-based, image-driven screening assays.

  • Demonstrated expertise with automated microscopy and HCS platforms from Revvity/Perkin Elmer and Molecular Devices.

  • Strong background in image analysis and data analytics, using commercial and/or open-source tools.

  • Working proficiency in scientific programming or analytical environments supporting quantitative imaging (e.g., Python, MATLAB, or equivalent).

  • Proven ability to collaborate effectively with multidisciplinary research teams.

  • Strong written and verbal communication skills.

 

Preferred Qualifications

  • Experience supporting or managing HCS instrumentation and automation infrastructure.

  • Demonstrated application of machine learning and/or deep learning techniques to biological image analysis.

  • Experience working with large-scale image datasets and high-performance or cloud-based computing environments.

  • Prior experience training or mentoring scientists and technical staff.

  • Track record of contributing to collaborative, peer-reviewed publications.

  • Experience working in a government laboratory or large collaborative research environment.

 

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
$145,000—$200,000 USD

Developer

 

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 around the globe. 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:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Match
  • Tuition reimbursement and professional development opportunities
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

 

Overview:

Axle is looking to add a driven, flexible, organized, and meticulous Developer to our dynamic team. 

 

Requirements:  

 

  • Responsible for the analysis, design, implementation, and support of software applications
  • Provide analytical support and maintenance after the implementation of software using Java, AWS, JavaScript, SQL Server, JSON
  • Master’s in Computer Science + 6 months work experience

 

 

 

Mail Resumes to:

Axle Informatics, Attn: Human Resources, 6116 Executive Blvd, Suite 400, North Bethesda, MD 20852

 

Only mailed resumes will be considered.

 

 

 

Coordinating Center Manager

(ID: 2026-1480)

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)

 

Position Overview  

The NIH SOM (Standardized Organoid Modeling) Coordinating Center Manager will oversee and manage the centralized coordination of a national and/or international initiative focused on enabling standardized organoid model systems across research institutions, biotech partners, and regulatory bodies. This individual will play a pivotal role in coordinating protocols, harmonizing data from multiple groups, normalization of efforts, managing communication and data-sharing frameworks, and ensuring operational alignment among stakeholders. The manager will drive operational excellence, support strategic planning, and oversee implementation of collaborative infrastructure to support reproducibility, transparency, and scalability of NIH SOM activities. The position emphasizes operational leadership, coordination, governance, and execution in support of scientific leadership provided by the NIH SOM Director and the NIH SOM AI Director. 

 

 

Key Responsibilities  

The Coordinating Center Manager will develop and implement an operational roadmap for organoid to support the organoid model standardization efforts, facilitating coordinating and alignment across diverse stakeholders and the manager will support NIH SOM leadership engagement in national and international forums. The manager will oversee coordination of a data repository and portal that supports visibility, access, and governance of organoid models developed through the NIH SOM center.  They will oversee daily operations of the Coordinating Center, manage partner engagement, and internal communications, and ensure governance processes, timelines, and reporting requirements are consistently followed. This role includes operational organization and logistical support of scientific advisory boards, including but not limited to maintaining timelines and deliverables, and ensuring compliance with ethical guidelines, governance policies, and reproducibility standards. The manager will oversee coordination of processes related to the acquisition, documentation, and ethical compliance of starting biological material—including patient-derived cells, stem cells, or tissue biopsies—used for organoid development. The Manager will ensure traceability of documentation, and adherence to established standard operating procedures and ensure that all documentation is maintained according to GDP standards and that it is available for audit or inspection at point.  The Manager will oversee coordination of outreach and communications activities of Coordinating Center to support NIH SOM priorities and leadership-defined by scientific needs.  

The manager will oversee the development, maintenance, and continuous improvement of SOPs, QC workflows, and documentation practices in coordination with scientific and technical teams. In addition, they will supervise the adoption and integration of digital tools that enable coordination, data harmonization, protocol sharing, version control, and performance tracking while working closely with AI/ML teams to align reporting standards. Finally, the manager will coordinate external and internal engagements with funding agencies and regulatory partners, prepare operational and strategic reports, and support dissemination activities such as white papers, briefings, and symposia in alignment with NIH SOM Scientific leadership.  

 

Required Qualifications 

Candidates should possess a Master’s degree (MPA, MPH, MBA, MSc or related field) or higher in public administration, public health, biomedical sciences, or a related field. The successful candidate will bring 10 or more years of progressive leadership experience coordinating complex, multi-stakeholder programs or consortia within federal, academic, or national initiatives. Demonstrated expertise is required in: 

  • Strategic program and project management for large, multi-institutional efforts
  • Oversight of federally funded programs, cooperative agreements, or programs including compliance, reporting, and performance monitoring
  • Leading cross-functional and multidisciplinary teams, including scientific, operational, and administrative personnel
  • Facilitating consensus-building among diverse stakeholders and translating strategic goals into executable work plans
  • Developing and maintaining governance structures, standard operating procedures, and continuous improvement processes
  • Demonstrated experience leading operational coordination, program management offices (PMOs), or execution functions for large, complex initiatives in regulated environments
  • Candidates must possess excellent written and oral communication skills, including experience preparing briefings, reports, and materials for senior leadership, advisory boards, and external partners.; familiarity with digital platforms, data-sharing environments, or enterprise systems supporting program coordination; and experience operating within federal or academic compliance frameworks. 

 

Preferred Qualifications 

Preferred candidates will demonstrate one or more of the following: 

  • Experience supporting or coordinating NIH, CDC, or other HHS-funded programs, centers, or consortia 

  • Proven success managing multimillion-dollar funding portfolios or complex cooperative agreements and programs 

  • Experience operating at the interface of academia, government, and external partners (e.g., industry, non-profits) 

  • Familiarity with data governance, performance metrics, or continuous improvement frameworks used in large public-sector initiatives 

  • Experience supporting high-visibility, time-sensitive, or mission-critical initiatives

  • Scientific domain expertise in organoid biology or related laboratory research areas is desirable but not required; the position emphasizes coordination, governance, and operational leadership in support of scientific excellence. 

 

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
$140,000—$160,000 USD

DevOps Engineer

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 around the globe. 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:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Match
  • Tuition reimbursement and professional development opportunities
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

 

Overview:

Axle is looking to add a driven, flexible, organized, and meticulous DevOps Engineer to our dynamic team. 

Requirements:  

  • Responsible for cloud infrastructure maintenance, building new operational monitoring, alerting capabilities, implementing and maintaining, cloud developed engineering solutions.
  • Requires proficiency in the following: AWS platform, Ansible, Bash, Python.
  • Requires Master’s Degree in Computer Science + 6 work months experience 

 

Mail Resumes to:

Axle Informatics, Attn: Human Resources, 6116 Executive Blvd, Suite 400, North Bethesda, MD 20852

 

Only mailed resumes will be considered.