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Computer Scientist Jobs in Lynn, MA (NOW HIRING)

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the ...

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the ...

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the ...

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the ...

At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online High School Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll ...

RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab , to join the FutureTech Group to conduct research assessing the pace of progress in AI and how it maps to economic outcomes ...

Showing results 41-60

Computer Scientist information

See Lynn, MA salary details

$52.1K

$114.8K

$141.8K

How much do computer scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for computer scientist in Lynn, MA is $114,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $141,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer Scientist, you need a strong background in mathematics, programming, and algorithm design, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, C++), development tools, and version control systems is typically required, along with knowledge of specialized software or frameworks relevant to your area. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help you collaborate and present complex ideas clearly. These skills and qualifications are important for developing innovative solutions, advancing technology, and working efficiently in multidisciplinary teams.

What is a computer scientist?

Computer scientists are professionals who study the theory, design, development, and application of computer systems and software. They work on solving complex problems using algorithms, programming languages, and computational methods. Their work can range from developing new technologies, improving cybersecurity, creating software, to researching artificial intelligence and machine learning. Computer scientists are employed in various industries, including tech companies, research institutions, government agencies, and academia.

What does a computer scientist do?

Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.

How do computer scientists typically collaborate with other departments within an organization?

Computer scientists often work closely with teams from engineering, product management, data analytics, and IT to design, implement, and optimize technological solutions. Collaboration may involve participating in cross-functional meetings, providing technical expertise to inform business decisions, and integrating software systems with other platforms. Effective communication and teamwork are key, as computer scientists must translate complex technical concepts into actionable insights for non-technical colleagues. This collaborative environment not only broadens your professional network but also enhances your problem-solving skills through exposure to diverse perspectives.

What is the difference between Computer Scientist vs Software Engineer?

AspectComputer ScientistSoftware Engineer
Required CredentialsBachelor's or higher in CS or related field; often advanced degreesBachelor's or higher in CS, Software Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, software development firms, IT departments
Employer & Industry UsageUniversities, research institutions, tech companiesSoftware development companies, startups, large corporations
Common Search & Comparison IntentUnderstanding roles, career paths, and skillsJob requirements, responsibilities, and career growth

Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

What cities near Lynn, MA are hiring for Computer Scientist jobs? Cities near Lynn, MA with the most Computer Scientist job openings:
Infographic showing various Computer Scientist job openings in Lynn, MA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,839 per year, or $55.2 per hour.

Computational Mechanics Scientist (Structural Solver)

Flexcompute Inc.

Watertown, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory
We prioritize fundamental understanding over tool proficiency. We are looking for an architect who can derive the governing equations from first principles and implement them into a robust numerical framework.
About Flexcompute
We are a "Physics Intelligence" company making hardware innovation as easy as software. Our solvers (Flow360, Tidy3D) are not just faster; they are effectively instant, reducing simulation times from days to minutes using massive GPU parallelism and proprietary algorithms.
  • Intellectual Density: We maintain an exceptionally high talent bar. Our team of ~90 includes over 50 PhDs from MIT, Stanford, and top research labs. You will work alongside peers who will challenge your thinking and elevate your work daily.
  • Impact: Our technology is currently used to design optical interconnects, 3D chiplets, quantum computing chips, eVTOL aircraft, and next-gen wind turbines. You are building the "math engine" that drives real-world engineering breakthroughs.
  • Stability & Growth: We are a Series C stage company with significant funding, revenue-generating products, and a clear path to disrupting the $20B+ simulation market.

Requirements
  • Education: Ph.D. in Applied Mechanics, Physics, Applied Mathematics, or a related field.
  • Deep Physics Intuition: You possess an intuitive grasp of continuum mechanics-elasticity, plasticity, contact mechanics, and wave propagation. You can predict how a structure should behave before the simulation runs.
  • Advanced Numerical Analysis: You have a theoretical mastery of numerical PDEs. You can mathematically prove the consistency, stability, and convergence of a scheme. You understand the trade-offs between implicit/explicit integration and various spatial discretizations.
  • Strong General Programming: Proficiency in at least one high-level language (C++, Python, Julia, Rust, or Fortran) with a focus on algorithmic efficiency. You understand data structures, computational complexity (Big O), and how to write maintainable research code.
  • First-Principles Thinking: Demonstrated ability to solve novel problems where no textbook solution exists.

Preferred (But Not Required)
  • Interest in learning High-Performance Computing (HPC) and GPU architecture.
  • Experience with C++ for scientific computing.
  • Exposure to multi-physics coupling (fluid-structure interaction, thermal-stress).

Key Responsibilities
  • Solver Formulation: Derive and implement governing equations for structural mechanics, ensuring thermodynamic consistency and physical accuracy across linear and non-linear regimes.
  • Numerical Architecture: Design the core numerical framework. You will determine the optimal discretization strategies (FEM, DG, IGA, etc.) to balance stability, accuracy, and computational cost.
  • Algorithmic Development: Specific language is secondary to code quality. You will write clean, modular, and efficient algorithms to solve large-scale systems of equations.
  • Physics-Driven Validation: Diagnose solver behavior not just as code execution, but as physical modeling. You must distinguish between numerical instability and physical phenomena.

Benefits
  • Collaborative Autonomy: We operate with high trust. You own your module, but you have immediate access to world-class experts in electromagnetics and fluid dynamics for cross-domain problems.
  • Continuous Learning: We host regular internal seminars where team members teach each other-from "Advanced Linear Algebra" to "GPU Memory Hierarchies."
  • Compensation: Competitive salary + meaningful equity in a fast-growing startup.
  • Well-being: Comprehensive Medical, Dental, and Vision insurance; 401(k); and a gym/fitness allowance.
  • Environment: A flat hierarchy where the "best idea wins," regardless of job title.