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Science Engineering Jobs in Massachusetts (NOW HIRING)

Lila Sciences

Principal Software Engineer, Data

Cambridge, MA · On-site

$147K - $197K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 8-15 years of engineering experience building and deploying large-scale systems in production. You must be strong ...

Deloitte

Agentic AI, AI & Data Science Engineer

Boston, MA · On-site

$124K - $149K/yr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ...

Amazon

Software Dev Engineer III - AMZ9893305

Boston, MA · On-site

$178K - $227K/yr

Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a related field and one year of experience in the job offered, or as a Software Engineer, Software ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 5+ years of experience in Data Science or Analysis * Solid ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field • 5+ years of experience in Data Science or Analysis • Solid ...

Mad Science

Mad Science Performer

Fall River, MA · On-site

$17 - $30/hr

Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

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Showing results 21-40

All JobsScience Engineering JobsScience Engineering Jobs in Massachusetts

Science Engineering information

See Massachusetts salary details

$44.2K

$107.9K

$170.9K

How much do science engineering jobs pay per year?

As of Aug 5, 2026, the average yearly pay for science engineering in Massachusetts is $107,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $126,700.00 per year, depending on experience, location, and employer.

How do science engineers typically collaborate with cross-functional teams on research and development projects?

Science engineers often work closely with professionals from various disciplines, such as chemists, physicists, software developers, and project managers, to drive innovation and problem-solving. Collaboration usually involves regular meetings to align on project goals, share research findings, and coordinate technical tasks. Effective communication and teamwork are essential, as science engineers must relay complex concepts in accessible terms and integrate feedback from different perspectives. This collaborative environment not only fosters creative solutions but also provides opportunities for professional growth and learning from peers in related fields.

What is the difference between Science Engineering vs Mechanical Engineering?

AspectScience EngineeringMechanical Engineering
Required CredentialsBachelor's or higher in Science Engineering or related fieldsBachelor's or higher in Mechanical Engineering
Work EnvironmentResearch labs, development centers, academiaManufacturing, design firms, industrial settings
Industry UsageResearch, product development, scientific analysisDesign, testing, manufacturing of mechanical systems

Science Engineering focuses on applying scientific principles to research and development, often in labs or academic settings. Mechanical Engineering emphasizes designing and manufacturing mechanical systems in industrial environments. While both require strong technical skills, their work environments and primary goals differ significantly.

What is a science engineer?

Science engineers are professionals who apply scientific principles and methods to design, develop, and improve technology, systems, or processes. They work at the intersection of science and engineering, often using their expertise to solve complex technical problems in fields such as materials science, biotechnology, environmental engineering, and more. Science engineers may conduct experiments, analyze data, and collaborate with scientists and other engineers to innovate new solutions. Their work is essential in advancing technology and addressing real-world challenges. Science engineers are found in research institutions, government agencies, and a wide range of industries.

What are the key skills and qualifications needed to thrive as a science engineer?

To thrive as a Science Engineer, you need a solid background in mathematics, scientific principles, and engineering fundamentals, typically supported by a relevant bachelor's degree or higher. Familiarity with industry-specific software, laboratory equipment, and certifications such as Professional Engineer (PE) licensure are often required. Strong problem-solving abilities, collaboration, and effective communication skills help Science Engineers excel in team-based environments and complex projects. These skills and qualities are crucial for developing innovative solutions, ensuring safety, and advancing scientific and engineering objectives.
What are popular job titles related to Science Engineering jobs in Massachusetts? For Science Engineering jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Science Engineering jobs in Massachusetts look for? The top searched job categories for Science Engineering jobs in Massachusetts are:
Science Engineering jobs near you
Infographic showing various Science Engineering job openings in Massachusetts as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $107,857 per year, or $51.9 per hour.

Principal Software Engineer, Data

Lila Sciences

Cambridge, MA • On-site

$147K - $197K/yr

Other

Re-posted 8 days ago

Job description

Your Impact at LILA

Join us in shaping the future of science! We are seeking Principal Software Engineers with backend experience to join our Data Platform Team (Data), 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 Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

  • Design & Build APIs: Design and build high-performance, secure, and well-documented 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.
  • 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.
  • 8-15 years of engineering experience building and deploying large-scale systems in production. You must be strong in scalable backend system design.
  • Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
  • Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).
  • Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
  • Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
  • Hands on experience using AI coding assistants to drive productivity is required.
  • Communication & Collaboration: Acute listening and writing 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 design complex backend solutions, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

  • 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).
  • Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
  • Experience with laboratory devices, robotics, or hardware

Apply