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Job Location: Rockville, MD

Senior Manager, Business Development & Sales – Healthcare Technology (Provider Solutions)

(ID: 2026-1552)

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)

Overview 

Axle is seeking a motivated and strategic Senior Manager of Business Development & Sales to support revenue growth and market expansion for Healthcare Technology Solutions serving provider organizations. This role will focus on developing and closing new business with hospitals, health systems, and physician groups, while supporting go-to-market strategy and key customer relationships. The right candidate will enter the role with an existing network and active book of business, and will be able to convert those relationships into revenue.   

The ideal candidate has hands-on experience selling healthcare technology to provider organizations, understands clinical and operational workflows, and can clearly articulate value to clinical, IT, and administrative stakeholders. Qualified candidates will reside within the Washington, DC or Cincinnati metropolitan area.  

Key Responsibilities 

Business Development & Sales Execution 

  • Drive new business development with provider organizations, including hospitals, health systems, and ambulatory groups

  • Leverage an existing book of business and industry relationships to accelerate pipeline creation and early deal conversion

  • Manage a pipeline of mid-to-large provider opportunities from initial outreach through contract execution

  • Support complex sales cycles involving clinical, IT, finance, and executive stakeholders

  • Develop tailored value propositions that address provider pain points such as efficiency, quality, compliance, and financial performance 

Account & Relationship Management 

  • Build and maintain strong relationships with provider decision-makers and influencers

  • Support onboarding and early expansion of new customers in collaboration with implementation and customer success teams

  • Identify upsell and cross-sell opportunities within existing provider accounts 

Go-to-Market Support 

  • Contribute to provider-focused go-to-market strategies, messaging, and sales enablement materials

  • Collaborate with marketing, product, and clinical teams to align offerings with provider needs

  • Assist in responding to RFPs, RFIs, and procurement processes common to provider organizations 

Market & Industry Insight 

  • Stay current on provider industry trends, including care delivery models, reimbursement pressures, and regulatory requirements

  • Track competitive offerings and provide market feedback to inform product positioning and roadmap decisions

  • Represent the organization at provider-focused conferences, events, and customer meetings 

Qualifications 

Required 

  • 5–8+ years of experience in healthcare technology sales or business development

  • Demonstrated success selling to provider organizations (health systems, hospitals, or physician practices)

  • Proven ability to build and convert pipeline quickly, closing complex, multi-stakeholder deals in regulated enterprise environments.

  • Understanding of provider workflows, clinical operations, and healthcare IT buying processes

  • Experience managing multi-stakeholder sales cycles

  • Strong communication, presentation, and relationship-building skills 

Preferred Attributes  

  • Experience with SaaS, digital health, data analytics, interoperability, or EHR-integrated solutions

  • Familiarity with provider procurement, contracting, and RFP processes

  • Prior experience mentoring junior sales or BD team members

  • Bachelor’s degree required; MBA or advanced degree a plus 

Key Competencies 

  • Consultative selling and solution positioning

  • Healthcare domain knowledge (provider side required, other domains preferred)

  • Pipeline management and forecasting

  • Cross-functional collaboration

  • Ability to operate independently in a fast-paced environment 

Compensation

  • The base salary range for candidates in Washington, DC metro area is $120,000-$150,000. The base salary range for candidates in the Cincinnati metro area is $100,000-$130,000. 

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
$120,000—$150,000 USD

Associate 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 Associate 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 Associate 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

DevSecOps Engineer

(ID: 2025-1349)

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)

Overview

The DevSecOps Engineer supports the secure, scalable, and reliable operation of our cloud-native infrastructure. This role bridges development, security, and operations to manage production Kubernetes environments, strengthen infrastructure security, and drive automation across the technology stack. The ideal candidate brings a security-first mindset, strong operational expertise, and the ability to design and refine efficient, resilient systems through infrastructure-as-code, monitoring improvements, and modern DevSecOps best practices.

 

Duties/Responsibilities

  • Manages production Kubernetes clusters and Helm deployments to ensure stability, scalability, and performance.

  • Maintains and optimizes Docker-based containerized environments, including multi-container orchestration.

  • Identifies, assesses, and remediates security vulnerabilities across cloud and containerized systems.

  • Implements monitoring, logging, and alerting systems to support observability and operational excellence.

  • Automates infrastructure provisioning and configuration using scripting and infrastructure-as-code tools such as Terraform.

  • Designs and maintains CI/CD pipelines supporting secure, automated deployments.

  • Troubleshoots network, DNS, API, and distributed system issues.

  • Supports AWS cloud infrastructure including EKS, EC2, IAM, and VPC networking.

  • Documents infrastructure, standards, and processes to ensure consistency and compliance.

  • Collaborates with development teams to ensure secure, reliable deployment practices.

  • Performs other duties as assigned.

 

Required Skills/Abilities

  • Strong understanding of Kubernetes operations and Helm-based deployments.

  • Proficiency with Docker and Docker Compose.

  • Advanced Linux administration skills across distributions.

  • Experience with monitoring and observability tools (Grafana, Prometheus, CloudWatch, etc.).

  • Strong scripting abilities in Bash, Python, or similar for automation and tooling.

  • Knowledge of security best practices, system hardening, and vulnerability remediation.

  • Proficiency with AWS services including EKS, EC2, IAM, and networking components.

  • Experience with Terraform or similar infrastructure-as-code tools.

  • Familiarity with CI/CD pipeline design and maintenance.

  • Excellent problem-solving skills and ability to work cross-functionally.

  • Ability to act with integrity, professionalism, and confidentiality.

 

Education and Experience

  • Bachelor’s degree in Computer Science, Engineering, or related field preferred.

  • At least 2+ years of DevOps/DevSecOps experience managing production Kubernetes environments.

  • Eligibility Requirement: Employment is limited to U.S. Persons (citizens, nationals, permanent residents, asylees, or refugees).

 

If you are looking to join a team that values innovation, security, and continuous improvement, this role offers the opportunity to help build and maintain a resilient, scalable infrastructure platform.

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.

Salary Range
$115,000—$130,000 USD