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Lab Driver Jobs in Massachusetts (NOW HIRING)

Director, Lab Systems Engineering

Boston, MA · On-site

$115K - $150K/yr

... drivers associated with laboratory technology investments. * Continuously enhance internal ... lab environments. * Translate innovation opportunities into pragmatic, compliant roadmaps that ...

Cardiac Cath Lab * Discipline: RN * Start Date: ASAP * Duration: 13 weeks * 40 hours per week ... Driver's License and the ability to travel between assignment locations. -Ability to pass a ...

New

Find Your Place at Pace Join us as a Lab Assistant , where you'll be responsible for providing ... Valid driver's license may be required. Physical Requirements * Ability to occasionally lift, carry ...

Find Your Place at Pace ® Join us as a Lab Assistant , where you'll be responsible for providing ... Valid driver's license may be required. Physical Requirements * Ability to occasionally lift, carry ...

Travel Cardiac Cath Lab Technician

Salem, MA · On-site

$2.4K - $3.3K/wk

Cath Lab Technologist * Discipline: Allied Health Professional * Start Date: 09/27/2026 * Duration ... Driver's License and the ability to travel between assignment locations. -Ability to pass a ...

Showing results 21-40

Lab Driver information

See Massachusetts salary details

$10

$27

$49

How much do lab driver jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for lab driver in Massachusetts is $27.57, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $30.43 per hour, depending on experience, location, and employer.

What is a lab driver?

Lab drivers are professionals responsible for transporting laboratory specimens, samples, and sometimes equipment between medical facilities, laboratories, and hospitals. Their role ensures timely and safe delivery of sensitive materials, which is crucial for accurate diagnostics and patient care. Lab drivers must follow strict protocols to maintain the integrity of samples and comply with safety and confidentiality regulations. They may also be responsible for maintaining transport records and sometimes assisting with minor administrative tasks.

What are the key skills and qualifications needed to thrive as a lab driver, and why are they important?

To thrive as a Lab Driver, you need a valid driver’s license, a clean driving record, and familiarity with safe transport protocols, often requiring a high school diploma or equivalent. Knowledge of vehicle maintenance, GPS navigation systems, and sometimes basic handling of biological or chemical materials is essential. Reliability, attention to detail, and strong communication are standout soft skills for this role. These skills ensure timely, safe, and compliant delivery of sensitive lab materials, supporting laboratory operations and patient care.

What are some common challenges faced by lab drivers and how can they be managed?

Lab Drivers often encounter challenges such as coordinating tight delivery schedules, maintaining the integrity of sensitive samples, and navigating varying road or weather conditions. Effective time management and clear communication with laboratory staff are essential for meeting deadlines and ensuring samples arrive safely. Familiarity with safe handling procedures and maintaining organized documentation also help minimize errors and support efficient operations.

What is the difference between Lab Driver vs Lab Technician?

AspectLab DriverLab Technician
Required CredentialsDriver's license, possibly a clean driving recordRelevant certifications or degrees in laboratory sciences
Work EnvironmentTransporting samples and equipment between labs and sitesPerforming tests, preparing samples, and analyzing data in lab settings
Employer & Industry UsageHospitals, research facilities, diagnostic labsMedical, research, and clinical laboratories

While both roles support laboratory operations, the Lab Driver primarily handles transportation of samples and equipment, requiring a valid driver's license. The Lab Technician conducts testing and analysis within the lab, often needing specific scientific certifications. Understanding these differences helps in choosing the right career path or job search focus.

How to become a lab driver?

To become a lab driver, candidates typically need a valid driver's license, a clean driving record, and sometimes a commercial driver's license (CDL) depending on the vehicle type. Prior experience with vehicle operation and knowledge of safety protocols are often required, along with the ability to follow detailed instructions and maintain accurate logs. Some positions may also require background checks and physical fitness assessments.

What job categories do people searching Lab Driver jobs in Massachusetts look for?

The top searched job categories for Lab Driver jobs in Massachusetts are:

Infographic showing various Lab Driver job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $57,354 per year, or $27.6 per hour.

Staff Software Engineer, Lab Software

Lila Sciences

Cambridge, MA

Full-time

Re-posted 26 days ago


Job description

Your Impact at LILA

Join us in shaping the future of science! We are seeking Staff Software Engineers with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

About The Team

The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

What You'll Be Building

  • Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
  • Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
  • Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
  • Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
  • Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
  • Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You'll Need To Succeed

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 8+ years of engineering experience building and deploying large-scale systems in production. You must be strong in backend.
  • Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
  • Hands on experience using AI coding assistants to drive productivity is required.
  • Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
  • Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

  • Domain Background: Exposure to laboratory software for life sciences, material sciences, or related fields.
  • Lab Automation Experience: Experience with laboratory devices, robotics, or hardware drivers.
  • Orchestration Systems: Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns
  • Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).