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Computational Science Jobs in Connecticut (NOW HIRING)

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Staff Engineer, Sr. Manager

Groton, CT · Hybrid

$124K - $207K/yr

ROLE SUMMARY Pfizer's committed to the application of computational science in the areas of drug discovery and development. As part of this mission, we have recently embarked on a large-scale ...

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Computational Science information

See Connecticut salary details

$53.7K

$79.1K

$93.2K

How much do computational science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for computational science in Connecticut is $79,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $88,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by computational scientists when working on interdisciplinary projects?

Computational scientists often collaborate with experts from fields like biology, physics, or engineering, which can present challenges in bridging gaps in domain-specific knowledge and communication styles. Adapting computational models to fit the unique requirements of different disciplines, while ensuring accuracy and efficiency, is a frequent hurdle. Additionally, managing large datasets and integrating diverse computational tools requires strong technical and organizational skills. Open communication and a willingness to learn from colleagues are key to overcoming these challenges and achieving successful project outcomes.

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

To thrive as a Computational Scientist, you need a strong background in mathematics, programming (such as Python, C++, or MATLAB), and domain-specific scientific knowledge, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, parallel processing frameworks, and scientific data analysis tools is typically required. Excellent problem-solving skills, collaboration, and effective communication set top candidates apart in interdisciplinary research environments. These skills and qualities are crucial for driving innovative scientific discovery and translating complex data into actionable insights.

What is the difference between Computational Science vs Data Scientist?

AspectComputational ScienceData Scientist
Required CredentialsDegree in science, engineering, or computational fields; often requires advanced degreesDegree in statistics, computer science, or related fields; often requires knowledge of programming and analytics
Work EnvironmentResearch labs, universities, industry R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulation, modelingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Computational Science focuses on developing models and simulations to solve scientific and engineering problems, often requiring advanced degrees and research environments. Data Scientists analyze large datasets to extract insights and support decision-making, typically working in business or tech sectors. While both roles involve programming and data handling, their primary goals and work settings differ significantly.

What can you do with a computational science degree?

A computational science degree prepares individuals for roles such as computational scientist, data analyst, simulation engineer, or research scientist. Graduates often work in industries like technology, healthcare, finance, or government, utilizing skills in programming, modeling, and data analysis to solve complex problems. Knowledge of tools like Python, MATLAB, or high-performance computing environments is also valuable.

Does computational biology pay well?

Computational biology is a specialized field within computational science that often offers competitive salaries, especially for those with advanced degrees and strong programming and data analysis skills. Salaries can vary based on experience, location, and industry, with roles in biotech, pharmaceuticals, and research institutions typically paying higher wages.

Is computational science a good career?

Computational science is a growing field that involves using computer models, simulations, and data analysis to solve complex scientific problems. It offers opportunities in research, industry, and academia, often requiring strong programming skills and knowledge of scientific principles. Job prospects are generally favorable with competitive salaries and demand for interdisciplinary expertise.

What is computational science?

Computational science is an interdisciplinary field that uses advanced computing capabilities to understand and solve complex problems. It combines elements of mathematics, computer science, and domain-specific knowledge to create simulations, analyze data, and model physical, biological, or social systems. Computational scientists develop algorithms and use high-performance computing to tackle problems that are difficult or impossible to solve analytically. This field is essential in areas such as climate modeling, drug discovery, engineering, and physics.

What does a computational scientist do?

A computational scientist develops and applies computer models, simulations, and algorithms to analyze complex scientific problems across fields like physics, biology, and engineering. They often use programming languages, high-performance computing, and data analysis tools to interpret large datasets and support research or decision-making.
What are popular job titles related to Computational Science jobs in Connecticut? For Computational Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Computational Science jobs in Connecticut look for? The top searched job categories for Computational Science jobs in Connecticut are:
What cities in Connecticut are hiring for Computational Science jobs? Cities in Connecticut with the most Computational Science job openings:
Infographic showing various Computational Science job openings in Connecticut as of July 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $79,060 per year, or $38 per hour.

Associate Computational Scientist

The Jackson Laboratory

Farmington, CT

$98K - $165K/yr

Other

Posted 7 days ago


The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

32nd of 120 rated laboratories


Job description

Associate Computational Scientists, under the supervision of either a senior level (Sr to Principal) scientist or one of the Director/Associate Director/Manager in Computational Sciences, participate in the collaborative bioinformatics program aligned with institutional strategy and direction and make leading contributions to the cutting edge projects at The Jackson Laboratory. Associate Computational Scientists will closely work with the research faculty & genetic resource scientists across all three campuses of The JAX on projects of wide ranging complexity from a diverse array of biomedical disciplines such as cancer biology, ageing, immunology, infectious diseases, metabolomics, neural disorders, muscular disorders, Biostatistics & Statistical Genetics, and stem cell & developmental biology. They may also work with The JAX Mice & Services staff and Scientific Services to meet the analytical needs of The JAX's Services, clients and partners. In addition, an Associate Computational Scientist may participate in all CS departmental activities and collaborations as assigned by the supervisor or Associate Director or Director of the group to the extent assigned. They include, not limited to, helping interns, post-doctoral fellows & scientists, grant writing and possibly CS Helpdesk. Successful candidates will have in-depth knowledge and experience in some or all of the following: High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc), microarray data analysis, high content imaging (HCI) data analysis, experimental design, data integration, algorithm development, development of sequence analysis tools (bioinformatics programming), evaluation of analytical tools and technology, and delivering training to the research community. They are continuous learners and proactive contributors. Furthermore, they will present the results to The JAX community, at conferences and workshops. Associate Computational Scientist exhibits increased ability to work independently, development of in-depth knowledge in selected biological disciplines to analyze and provide expert reasoning to the relevant projects. Provide overall project leadership that includes, not limited to, project management, logistics management, scope definition and collaboration management. Make leading contributions to grant applications. The candidates with proven track record of "omics" data or image analysis, independent collaborative work and leading contributions to a biological discipline would be preferred. They may sustain collaborations with The JAX research staff and faculty on all campuses and may visit the other sites of JAX as required.

Key Responsibilities

  • Associate Computational Scientist performs, under minimal supervision, tasks such as Computational analysis of omics data, algorithm development and implementation, as well as bioinformatics programming. May evaluate data for quality assurance and mining bioinformatics databases. Results may be presented at international conferences and workshops. Contributing to the education and training courses conducted by CS and The JAX for internal as well as external communities. (60-70%)
  • Associate Computational Scientist starts demonstrating strong potential to develop analytical expertise to a few selected biological disciplines, independent collaboration and project leadership. (20%).
  • Participate in departmental and project activities such as developing pipelines, participating in conducting courses and workshops at JAX, provide leading contributions to grant applications, helping students and scientists, possibly participating in CS Helpdesk and presenting results and processes to JAX community and at conferences and workshops as assigned. (10-20%)

Knowledge, Skills & Abilities

  • PhD in Bioinformatics, Computer Science, Biostatistics or any relevant area. The candidates who are near the completion of their PhD can also apply.
  • Associate Computational Scientist, in addition to PhD, also possess 2-5 years of experience in Bioinformatics research, excluding time spent to obtain PhD.
  • Successful incumbents demonstrate excellent verbal and written communication skills.
  • Demonstrated experience managing projects and collaborations is key.
  • Prior successes in and desire to contribute to team projects on an ongoing basis is a must.


Education Required: Doctorate Degree
Education Preferred: Doctorate Degree
Experience Required: 2 years
Experience Preferred: 5 years

Pay Range: $98885 - $165554

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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