Synced from Greenhouse · Oct 24

Laboratory Automation Engineer (Robotics and Digital Twins)

AxleBethesda, MDPosted Oct 24, 2026
Robotics EngineerMid
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Mirrored from Axle's own Greenhouse careers system · refreshed hourly

$120k–$160k
Compensation
45
Other open Axle roles
Oct 24
Posted
Greenhouse
Applicant system
Job descriptionReq 5274585007
(ID: 2026-3890)

 


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 Laboratory Automation Engineer will program, integrate, and keep running the robots of the autonomous laboratory in Bethesda, starting with the BAB400, so that biological experiments run reliably without a person at the bench. The role builds the software layer that turns robot hardware into orchestrated, repeatable workflows, using the MADSci framework from Argonne National Laboratory. It also builds digital twins of the robots and workcells, used to plan, test, and validate protocols before they run on real hardware. The position combines hands-on robotics work in a biological lab with production-quality software development, and it works closely with IDSS data engineers, bioinformaticians, and the biologists who define the protocols.

 

Key Responsibilities

 

  • Robot programming and control. Program, calibrate, and maintain the BAB400 and other laboratory robots, including arms, liquid handlers, plate movers, and incubator and imaging interfaces.

  • MADSci integration. Deploy MADSci modules, nodes, and workcell definitions so each robot and instrument can be commanded, monitored, and scheduled through a common interface. Contribute fixes and new modules back to the framework where appropriate.

  • Workflow development and scheduling. Translate biological protocols (cell culture, iPSC maintenance, passaging, media exchange, imaging, sampling) into automated workflows with sequencing, timing, resource tracking, and recovery from failures.

  • Instrument and data integration. Connect robot and instrument outputs to the data pipelines, LIMS, and metadata systems maintained by IDSS, so every run is logged, traceable, and reusable.

  • Validation and reliability. Develop acceptance tests, error handling, logging, and monitoring. Troubleshoot hardware and software faults, and document root causes and fixes.

  • Safety and compliance. Implement interlocks and safe-state behavior, and follow laboratory, biosafety, and NIH/HHS security requirements.

  • Tool evaluation. Evaluate robots, drivers, simulators, and frameworks, and prepare short technical assessments for IDSS leadership.

  • Training and documentation. Train laboratory staff to operate and recover the system, and write standard operating procedures and technical documentation.

 

Required Qualifications

 

The selection standard is demonstrated ability to get automated systems working. A degree in engineering, computer science, robotics, or a related science is common, but equivalent practical experience is fully acceptable.

  • Automation experience. Several years of hands-on experience with laboratory robotics or comparable automation, such as robotic arms, liquid handlers, plate handlers, or workcells, including installing, programming, calibrating, and troubleshooting them.

  • Robot software. Experience with the software that drives laboratory robots: vendor APIs and SDKs, device drivers, and orchestration or scheduling software.

  • Laboratory context. Some experience with robotics in a biological laboratory (cell culture, molecular biology, or assay automation), and comfort working around biological materials under biosafety practices.

  • Programming. Strong Python, including asynchronous or service-style code, REST APIs, and working with hardware or network protocols (serial, TCP/IP, OPC UA, or similar).

  • Software engineering practices. Experience with Git, testing, and code review, and with Docker for deploying software next to hardware.

  • Protocol translation. Ability to read a protocol, understand what the biology requires, and turn it into a reliable automated workflow.

  • Communication. Strong communication skills and the ability to train laboratory staff.

  • Clearance. Ability to obtain and maintain NIH/HHS security clearance and meet federal contractor suitability requirements.

 

Preferred Qualifications

 

  • Direct experience with MADSci, or with similar laboratory orchestration frameworks (for example PyLabRobot, Opentrons tooling, or ROS-based systems).

  • Experience with simulation platforms such as NVIDIA Isaac Sim, Gazebo, MoveIt, or similar robot simulators.

  • Experience with stem cell, iPSC, organoid, or tissue engineering laboratories.

  • Experience with self-driving or autonomous laboratories, including closed-loop experiments driven by ML or optimization.

  • Familiarity with ROS 2, robot kinematics, and computer vision for labware or sample detection.

  • Experience with Kubernetes, CI/CD, and message-based architectures (MQTT, Redis, or similar).

  • Familiarity with LIMS, ELN, and metadata standards, and with FAIR data principles.

  • Experience with imaging instruments and plate-based assays.

  • Experience building or using simulation or digital-twin models of robotic systems, or a clear record of learning a new simulator quickly.

 

 

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
$120,000—$160,000 USD
View original posting on Greenhouse

What applying to Axle usually looks like

Based on publicly available information, candidates applying through greenhouse systems, such as the one used by Axle, can generally expect a structured application process that begins with an online submission including a resume and possibly a cover letter. Applicants may be asked to complete a brief questionnaire or skills assessment depending on the role. The process commonly includes an initial recruiter screen, followed by one or more interviews with hiring managers or team members, which may include multiple stages such as technical evaluations or panel discussions. Communication is typically handled through automated email updates, and response times vary depending on the volume of applicants and internal scheduling. Candidates are encouraged to ensure their application materials are tailored to the specific role and to monitor their email, including spam folders, for updates throughout the process.

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Laboratory Automation Engineer (Robotics and Digital Twins)
Axle · Bethesda, MD
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