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Computational Scientist 3 Jobs (NOW HIRING)

Excellent employment opportunity for a Scientist III in the Ridgefield, CT area. * Design ... Familiarity with computational biology tools and experience working with computational biologists ...

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Computational Scientist 3 information

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$50.5K

$111.3K

$137.5K

How much do computational scientist 3 jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computational scientist 3 in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Computational Scientist 3?

A Computational Scientist 3 is an advanced professional who applies computational techniques, modeling, and data analysis to solve complex scientific and engineering problems. This role typically requires several years of experience and often involves designing and implementing algorithms, developing software, and collaborating with researchers across disciplines. Computational Scientist 3s may also lead projects, mentor junior staff, and contribute to scientific publications. They work in fields such as physics, chemistry, biology, and engineering, utilizing high-performance computing and specialized software tools.

What are the key skills and qualifications needed to thrive as a Computational Scientist 3?

To thrive as a Computational Scientist 3, you need advanced expertise in scientific computing, data analysis, and a relevant graduate degree (often a PhD) in fields like physics, chemistry, or computer science. Proficiency in programming languages (such as Python, C++, or Fortran), experience with high-performance computing (HPC) systems, and familiarity with scientific software tools and version control are typically required. Strong problem-solving skills, collaboration, and effective communication set outstanding candidates apart. These skills are critical for developing innovative computational solutions, advancing research objectives, and contributing effectively within interdisciplinary scientific teams.

What does a computational scientist 3 do?

A Computational Scientist 3 develops and applies advanced computational models and algorithms to solve complex scientific problems. They often work with large datasets, utilize programming languages like Python or C++, and collaborate with researchers to interpret results and improve simulations. This role typically requires strong analytical skills, experience with high-performance computing, and a Ph.D. or equivalent in a related field.

What types of interdisciplinary collaboration can a Computational Scientist 3 expect in their daily work?

As a Computational Scientist 3, you will frequently collaborate with researchers, engineers, and domain experts across various scientific disciplines. Your role often involves integrating computational models and data analysis tools into broader research projects, requiring effective communication to translate complex technical concepts for non-specialists. You may also work closely with IT teams to optimize computational resources and with project managers to ensure deliverables align with research goals. This collaborative environment encourages knowledge sharing and fosters opportunities for professional growth through exposure to diverse scientific challenges.

What are the career paths in computational scientist 3?

A Computational Scientist 3 typically advances to senior scientific roles such as Senior Computational Scientist, Lead Scientist, or Research Manager, often taking on increased responsibilities in project leadership and strategic planning. Career progression may also include specialization in areas like data analysis, algorithm development, or high-performance computing, and may require advanced degrees or certifications. Opportunities exist in academia, government labs, or private industry, with potential for managerial or technical expert positions.
More about Computational Scientist 3 jobs
Infographic showing various Computational Scientist 3 job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Associate Computational Scientist

The Jackson Laboratory

Farmington, CT • On-site

$98K - $165K/yr

Full-time

Posted 14 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

33rd 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 and China. 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 visit www.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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