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Scientific Software Engineer Jobs in Connecticut

Yuma Holdings LLC

Software Engineer

Stamford, CT · On-site

Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience * 3-8 years of professional experience as a backend engineer. * Strong proficiency in ...

Danaher

Software Engineer Internships

Hamden, CT · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Norwalk, CT

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Bridgeport, CT

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Stamford, CT · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Waterbury, CT

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Stamford, CT

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Waterbury, CT · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Hartford, CT

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Danbury, CT · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Hartford, CT · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Danbury, CT

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

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Scientific Software Engineer information

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How much do scientific software engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for scientific software engineer in Connecticut is $37.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $54.66 per hour, depending on experience, location, and employer.

What is a scientific software engineer?

Scientific Software Engineers are professionals who design, develop, and maintain software applications tailored for scientific research and data analysis. They collaborate with scientists and researchers to create computational tools, simulations, or data processing pipelines that enable complex experiments and facilitate discovery. Their role often requires expertise in both domain-specific science and advanced programming, ensuring that software solutions are robust, efficient, and reproducible. Scientific Software Engineers typically work in academic institutions, research labs, or industries such as biotechnology, pharmaceuticals, and climate science.

How does a scientific software engineer typically collaborate with researchers and domain experts on projects?

Scientific Software Engineers frequently work closely with researchers, scientists, and domain experts to translate complex scientific requirements into robust and efficient software solutions. Collaboration often involves participating in project meetings, understanding specific scientific models or data workflows, and iteratively refining software based on user feedback. This role requires strong communication skills and the ability to bridge the gap between technical software development and domain-specific needs, ensuring that the resulting tools are both scientifically accurate and user-friendly.

What are the key skills and qualifications needed to thrive as a scientific software engineer, and why are they important?

To thrive as a Scientific Software Engineer, you need a strong background in computer science, mathematics, and scientific domains, often with an advanced degree in a STEM field. Familiarity with programming languages like Python, C++, and MATLAB, as well as experience with scientific computing libraries and version control systems, is typically required. Excellent problem-solving skills, attention to detail, and effective collaboration are essential soft skills for this role. These competencies enable the development of robust and efficient scientific software, facilitating research and innovation in scientific projects.

What is the difference between Scientific Software Engineer vs Data Scientist?

AspectScientific Software EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, scientific organizations, tech companies focusing on simulation and modelingBusiness, tech companies, research institutions analyzing large datasets
Industry UsageScientific research, engineering, simulation developmentData analysis, predictive modeling, machine learning applications

While both roles require programming skills and a strong technical background, Scientific Software Engineers focus on developing software for scientific research and simulations, whereas Data Scientists analyze data to extract insights and build models. The roles often overlap in skills but differ in their primary objectives and work environments.

How to become a scientific software engineer?

To become a scientific software engineer, typically a bachelor's degree in computer science, software engineering, or a related field is required, often complemented by experience in scientific computing, programming languages like Python or C++, and familiarity with scientific tools and data analysis. Gaining practical experience through internships, research projects, or contributing to open-source scientific software can also be beneficial. Advanced roles may require a master's or Ph.D. in a scientific discipline or computer science.

What are popular job titles related to Scientific Software Engineer jobs in Connecticut?

For Scientific Software Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Scientific Software Engineer jobs in Connecticut look for?

The top searched job categories for Scientific Software Engineer jobs in Connecticut are:

What are popular job titles related to Scientific Software Engineer jobs in CT?

For Scientific Software Engineer jobs in CT, the most frequently searched job titles are:

Scientific Software Engineer jobs near you
Infographic showing various Scientific Software Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $77,872 per year, or $37.4 per hour.

Software Integration Engineer, Laboratory Automation

Thermo Fisher Scientific

Groton, CT

$103K - $139K/yr

Full-time

Posted 19 days ago

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 429 frontline employees who took The Breakroom Quiz

169th of 545 rated manufacturers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer.

As a Software Integration Engineer, you will develop software integrations connecting laboratory instruments with Thermo Scientific™ Momentum Software, AI-enabled scientific applications, and customer digital workflows. You will play a key role in enabling intelligent laboratory automation by integrating software platforms, laboratory instruments, and AI-driven workflows into scalable customer solutions.

[Key Competencies]

  • Customer-focused with strong analytical and problem-solving skills.
  • Excellent communication and collaboration across customers and cross-functional teams.
  • Self-driven with the ability to manage multiple priorities while delivering high-quality software.


[Key Responsibilities]

  • Design, develop, test, and maintain custom Momentum™ SDK drivers for laboratory instrument integration.
  • Develop reliable software interfaces between Momentum and third-party laboratory instruments using standard communication protocols and APIs.
  • Integrate laboratory instruments into automated workflows while ensuring software quality through validation, testing, and deployment support.
  • Translate customer workflow requirements into scalable software integration solutions through close collaboration with customers and cross-functional teams.
  • Troubleshoot software, communication, and hardware integration issues during development and customer implementation.
  • Develop technical documentation and reusable software components that support standardized integration and long-term maintainability.
  • Collaborate with global engineering teams to ensure compliance with Momentum SDK standards and software development best practices.
  • Support customer demonstrations, Proof-of-Concept (PoC) activities, and continuous improvement of integration frameworks and engineering standards.
  • Integrate AI-enabled scientific applications and software services with laboratory automation workflows to support intelligent laboratory operations.
  • Collaborate with AI software engineers to enable seamless interaction between laboratory instruments, workflow platforms, and AI-powered applications.

[Qualifications]

Education

  • Bachelor’s degree in computer science, Software Engineering, Computer Engineering, Electrical Engineering, or a related discipline.

Experience

  • Minimum 7+ years of software development experience.
  • Experience with object-oriented software development, laboratory or industrial system integration, and software platform integration.
  • Experience in software validation, testing, and troubleshooting.

[Knowledge, Skills, Abilities]

  • Strong programming skills in C# and .NET, Visual Studio, experience integrating software APIs and AI-enabled applications.
  • Knowledge of communication protocols including TCP/IP, REST APIs, Serial (RS-232/RS-485), OPC-UA, XML/JSON and software integration architectures supporting laboratory automation and AI workflows.
  • Software debugging, unit testing, and version control (Git/Azure DevOps)
  • Strong analytical, problem-solving, and debugging skills.
  • Excellent communication and collaboration skills with customers and cross-functional teams.
  • Business-level Korean and English communication skills.

[Preferred Qualifications]

  • Experience with biotechnology, life sciences, laboratory automation, research, or scientific software environments is highly desirable.
  • Experience integrating AI-enabled applications or digital laboratory platforms into laboratory automation workflows.
  • Experience developing laboratory instrument drivers or device control software.
  • Experience with Thermo Scientific™ Momentum, laboratory automation platforms, or scientific instrumentation.
  • Knowledge of laboratory automation standards, robotics, and scientific workflows.
  • Experience with Git/Azure DevOps, Agile software development, and SDLC practices.

What Thermo Fisher Scientific employees say

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