Close

Job Location: Frederick, MD

IT Operations Technical Lead

(ID: 2026-1538)

 

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 an IT Operations Technical Lead to oversee and optimize hybrid cloud and on-premise infrastructure. This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management. The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML.

 

Responsibilities:

  • Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management 

  • Provide hands-on leadership in managing Linux and Windows environments across cloud and on-premises infrastructure 

  • Own and drive incident response, root cause analysis, and service restoration for mission-critical systems 

  • Design, build, and maintain golden images, patching strategies, and system hardening standards

  • Lead patch management and vulnerability remediation programs ensuring compliance and system integrity 

  • Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil 

  • Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning 

  • Manage and maintain GPU-enabled environments and instances for high-performance computing and machine learning use cases

  • Oversee and optimize infrastructure monitoring, logging, alerting, and observability frameworks 

  • Manage and mentor a team of systems engineers; provide technical guidance and performance oversight 

  • Collaborate with architecture, security, and development teams to improve reliability, scalability, and operational efficiency 

  • Support hybrid environments including cloud platforms and on-premise data centers 

  • Ensure proper documentation, runbooks, SOPs, and operational readiness

  • Stay abreast of new technologies in your areas but not limited to US Federal Standards, NIST Publications, cloud computing & deployment, site reliability engineering, security standards and compliance best practices etc. 

 

Requirements:

  • Must have 5+ years of experience leading operations team with hands-on experience in driving operational  process improvements and technological advancements.

  • Proven experience implementing and operating within ITIL frameworks 

  • Must have 10+ years of hands-on Unix/Linux experience that includes specific technical experience with CentOS / Red Hat systems administration support for large scale distributed environments

  • Hands-on experience with incident management, patching, system hardening, and production support 

  • Experience building and maintaining golden images and standardized environments 

  • Strong scripting/automation skills (e.g., Python, Bash, PowerShell or similar) 

  • Experience with configuration management and automation tools (Ansible, Terraform, Puppet, Chef, or similar) 

  • Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing) 

  • Experience with monitoring and logging tools (e.g., Nagios, Splunk, ELK, Prometheus, Grafana)

  • Must have Cloud Build-Out or Migration experience in at least one of the following providers Amazon AWS, Google GCP and Microsoft Azure

  • Must have 2+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub

  • Experience supporting AI/ML workloads or data-intensive platforms 

  • Familiarity with GPU-based compute environments (e.g., NVIDIA GPU instances)

  • Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project

  • Knowledge of security best practices and compliance frameworks such as NIST 800-53, FedRAMP, FISMA etc. are preferred

  • Certifications such as ITIL, Linux, AWS, Azure, or Kubernetes (CKA/CKAD) is preferred

  • Networking certifications (CCNA/CCNP) are a plus

 

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—$170,000 USD

Scientific Software Engineer (Full Stack)

(ID: 2025-0915)

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)

Overview

Axle is seeking a Scientific Software Engineer that will develop the integration middleware and interactive interfaces for the SOM Center. This position involves building cloud-native applications that establish interoperability between cloud-based AI services, legacy laboratory systems, and real-time experimental state systems, delivering a unified data management interface for scientific discovery data.

 

Responsibilities

  • API Development: Design and implement high-concurrency asynchronous APIs (using GraphQL or gRPC) to stream data between cloud inference endpoints (e.g., Vertex AI) and centralized state stores.
  • AI-Assisted Development: Actively utilize AI-assisted coding tools (e.g., GitHub Copilot) to accelerate feature implementation, unit testing, and debugging.
  • User Portal & Visualization: Develop the SOM User Portal using modern frameworks to render interactive visualizations. Implement WebGL-based components (e.g., Deck.gl, PixiJS) to render high-density parallel protocol topologies and multi-omics heatmaps without performance degradation.
  • Agentic AI Integration: Implement the application logic to support Agent-based workflows, connecting user-facing chat interfaces with backend reasoning engines. Handle complex interaction patterns such as tool execution loops, multi-step reasoning chains, and streaming responses to the user.
  • LIMS Integration & Ontology Enforcement: Develop business logic to integrate modern microservices with Legacy Laboratory Information Management Systems (LIMS). Enforce Ontology Mapping at the user interface level to ensure all data entry adheres to the SOM controlled vocabulary.
  • Real-Time State Store: Implement a high-frequency experimental state store using in-memory databases (e.g., Redis), utilizing WebSockets or Server-Sent Events (SSE) to power real-time dashboards that reflect experimental data states.
  • Cloud-Native Patterns: Implement Cloud-Native design patterns to reliably consume outputs from asynchronous cloud operations and surface results to the user.
  • Collaboration: Collaborate with AI researchers to create explainable interfaces for model predictions.

 

Required Qualifications

  • Bachelor’s or master’s degree in computer science or software engineering with experience in full-stack development for data-intensive applications.
  • Proficiency in modern Python backend frameworks (FastAPI, Litestar) and strongly typed frontend ecosystems (React/Next.js with TypeScript).
  • Experience with WebGL-based visualization libraries (e.g., Deck.gl, PixiJS, or Plotly) for rendering high-density biological datasets.
  • AI Productivity: Demonstrated ability to leverage AI-driven coding assistants and LLMs to increase development velocity and code quality.
  • Experience deploying and debugging applications in Containerized Cloud Environments (Cloud Run, ECS, or Kubernetes).
  • Preferred Qualifications
  • Familiarity with Agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen) and implementing “Tool Use” patterns in applications.
  • Experience with Event-Driven Architectures (Pub/Sub, Kafka) for coordinating hybrid workflows.
  • Knowledge of Graph Database query languages (Cypher/Gremlin) and Real-Time/In-Memory databases (Redis).
  • Familiarity with integrating applications with Enterprise Identity Providers (OIDC/SAML) and experience working in a biotech or LIMS 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.

Salary Range
$115,000—$125,000 USD

AI/ML Scientist/Developer

(ID: 2025-0402)

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).

 

Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

 

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)

 

Overview

The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.

 

Responsibilities

  • The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
  • They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
  • The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
  • Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.

 

Required Qualifications

  • Candidates must possess a Master’s degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
  • Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.

 

Preferred Qualifications

  • Experience with organoid systems or tissue engineering applications is highly desirable.
  • Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
  • Familiarity with cloud computing platforms and containerization technologies is preferred.

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.

 

Salary Range
$115,000—$130,000 USD

Computational Scientist – AI/ML for Omics Integration

(ID: 2025-0404)

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).

 

 

Axle is seeking a Computational Scientist – AI/ML for Omics Integration to develop and apply advanced AI/ML approaches to integrate multi-omics datasets for comprehensive organoid characterization and quality assessment. This position located in Frederick, MD at the Standardized Organoid Model Center will focus on creating computational frameworks that can assess organoid fidelity, predict functional outcomes, and identify optimal culture conditions through sophisticated data integration strategies.  

 

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)

 

Overview:

The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

 

Responsibilities:

  • The successful candidate will design and implement machine learning algorithms that integrate diverse omics datasets including genomics, transcriptomics, proteomics, and metabolomics data to create comprehensive organoid characterization profiles.
  • They will develop predictive models that assess organoid quality and functionality based on molecular signatures and identify biomarkers that correlate with successful organoid development.
  • The role involves creating computational tools for comparing organoid characteristics across different protocols and laboratories to support standardization efforts.
  • Collaboration with experimental teams to validate computational predictions and translate findings into actionable protocol improvements will be essential.

 

Required Qualifications:

  • Candidates must hold a PhD in computational biology, bioinformatics, computer science, or a related quantitative field with demonstrated experience applying AI/ML methods to biological systems.
  • Strong programming skills in Python and R are required, along with experience with machine learning frameworks and statistical analysis packages.
  • Knowledge of multi-omics data integration techniques and experience with biological pathway analysis are necessary.
  • Familiarity with cloud computing platforms and high-performance computing environments is required.

 

Preferred Qualifications:

  • Previous experience working with organoid datasets or tissue engineering applications is highly desirable.
  • Experience with deep learning approaches for biological data, knowledge of systems biology principles, and familiarity with network analysis methods will be considered valuable assets.
  • Experience with collaborative research projects and manuscript preparation is preferred.

 

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.

#INDPSD

Salary Range
$115,000—$130,000 USD