ZipRecruiter

Log In

1

Virtual Lab Assistant Jobs in Boston, MA (NOW HIRING)

Premise Health

Medical Assistant

Boston, MA · On-site

$26 - $30/hr

State Lab Certificate (NV only) * CMA certification required from the American Association of ... to virtual primary care and virtual behavioral health at no cost for team members and their ...

next page

Showing results 1-20

All JobsLab JobsVirtual Lab Assistant JobsVirtual Lab Assistant Jobs in Boston, MA

Virtual Lab Assistant information

See Boston, MA salary details

$12

$26

$36

How much do virtual lab assistant jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for virtual lab assistant in Boston, MA is $26.51, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $29.76 per hour, depending on experience, location, and employer.

What is a virtual lab assistant?

Virtual Lab Assistants are professionals who provide support for laboratory courses, experiments, or research using digital platforms rather than being physically present in a lab. They assist students, instructors, or researchers by managing virtual lab simulations, troubleshooting software, answering questions, and ensuring a smooth remote lab experience. Virtual Lab Assistants help bridge the gap between traditional hands-on labs and online learning environments, making science education more accessible and flexible.

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

To thrive as a Virtual Lab Assistant, you need a solid background in science or laboratory techniques, often supported by relevant coursework or a degree in a scientific field. Familiarity with virtual lab platforms, data analysis software, and online collaboration tools is typically required. Strong attention to detail, organization, and effective communication are standout soft skills for this role. These skills ensure accurate experiment facilitation, reliable data management, and smooth remote collaboration in a digital lab environment.

What are some common challenges faced by virtual lab assistants, and how can they be effectively managed?

Virtual Lab Assistants often encounter challenges related to troubleshooting technical issues remotely, ensuring clear communication with students and instructors, and managing multiple tasks in a digital environment. To overcome these challenges, it's important to stay organized, be proactive in learning new software tools, and develop strong written and verbal communication skills. Regular check-ins with the instructional team and prompt responses to student inquiries also help maintain a smooth workflow and positive learning experience.

What is the difference between Virtual Lab Assistant vs Laboratory Technician?

AspectVirtual Lab AssistantLaboratory Technician
CredentialsHigh school diploma or equivalent; some roles may require certificationPost-secondary education, often an associate degree or certification in lab techniques
Work EnvironmentRemote, online platforms, data management, and virtual supportPhysical labs, hospitals, or research facilities
Employer & IndustryEducational institutions, online training providers, biotech companiesHospitals, research labs, pharmaceutical companies
Search & Comparison IntentOften searched by those interested in remote lab support rolesTypically searched by those seeking hands-on lab work

The Virtual Lab Assistant primarily provides remote support, data management, and virtual assistance in laboratory settings, often requiring minimal formal lab training. In contrast, a Laboratory Technician works directly in physical labs, performing experiments, sample analysis, and equipment handling. Both roles are essential in the scientific industry but differ significantly in work environment and required skills.

Can you get a virtual lab assistant job with no experience?

Virtual lab assistant jobs often require basic computer skills and familiarity with laboratory procedures, but many entry-level positions do not require prior experience. Candidates can improve their chances by gaining knowledge of relevant software, such as data management tools, and demonstrating a willingness to learn. Some employers may offer training for new hires without experience.

How do I become a virtual lab assistant?

To become a virtual lab assistant, candidates typically need a background in science or related fields, strong computer skills, and familiarity with laboratory software or virtual tools. Relevant certifications or training in laboratory procedures and good communication skills are also beneficial for performing tasks remotely effectively.

What are popular job titles related to Virtual Lab Assistant jobs in Boston, MA?

For Virtual Lab Assistant jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Virtual Lab Assistant jobs in Boston, MA look for?

The top searched job categories for Virtual Lab Assistant jobs in Boston, MA are:

Virtual Lab Assistant jobs near you
Infographic showing various Virtual Lab Assistant job openings in Boston, MA as of August 2026, with employment types broken down into 2% Internship, 80% Full Time, 13% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $55,133 per year, or $26.5 per hour.

Software Engineer II, Lab Software

Lila Sciences

Cambridge, MA • On-site

Full-time

Re-posted 17 days ago

Job description

Your Impact at LILA

Join us in shaping the future of science! We are seeking a Software Engineer II 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.
  • 2-5 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)

Apply