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Computational Modeling Scientist Jobs (NOW HIRING)

1910

Computational Theoretical Chemist I

Boston, MA

... science, and software engineering to develop drugs for previously undruggable targets. Role ... Validate a cellular hit in a clinically relevant animal model of disease * Update provisional ...

1910

Computational Theoretical Chemist I

Boston, MA

... models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery ... We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ...

1910

Computational Theoretical Chemist II

Boston, MA

... models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery ... We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ...

1910

Computational Theoretical Chemist I

Boston, MA · On-site

... models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery ... We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ...

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Computational Modeling Scientist information

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$50.5K

$111.3K

$137.5K

How much do computational modeling scientist jobs pay per year?

As of Jun 26, 2026, the average yearly pay for computational modeling scientist 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 are the typical day-to-day responsibilities of a Computational Modeling Scientist?

As a Computational Modeling Scientist, your daily tasks often include designing and implementing mathematical models or simulations to analyze complex systems, running computational experiments, and refining models based on data analysis. You will collaborate closely with multidisciplinary teams, including scientists, engineers, and sometimes clients, to ensure your models address real-world challenges. Preparing technical documentation, presenting findings, and keeping up with relevant scientific literature are also common parts of the role. The work environment is typically research-focused, either in academic, government, or industrial settings, where teamwork and effective communication are highly valued.

What is the meaning of computational?

In the context of a Computational Modeling Scientist, 'computational' refers to the use of computer-based methods and algorithms to simulate, analyze, and solve complex scientific problems. It involves programming, data analysis, and modeling techniques to understand systems across various fields such as biology, physics, or engineering.

What are the key skills and qualifications needed to thrive in the Computational Modeling Scientist position, and why are they important?

To thrive as a Computational Modeling Scientist, you need a solid background in mathematics, physics, or engineering, proficiency in programming languages like Python or MATLAB, and often a relevant advanced degree (MS or PhD). Expertise with simulation software (e.g., COMSOL, ANSYS), high-performance computing systems, and familiarity with version control tools are commonly required. Strong analytical thinking, creativity, and effective communication skills help facilitate collaboration and the translation of complex models to actionable insights. These abilities are essential for accurately developing, validating, and interpreting models that drive data-driven decision-making in research and industry.

Is CS full of math?

Computational Modeling Scientists often use advanced mathematics, including calculus, linear algebra, and statistics, to develop and analyze models. Strong math skills are essential for understanding algorithms, data analysis, and simulation techniques in this field.

What is meant by computational thinking?

Computational thinking is a problem-solving approach used by computational modeling scientists that involves breaking down complex problems into manageable parts, recognizing patterns, abstracting key information, and developing algorithms. It is a fundamental skill for designing models, analyzing data, and creating simulations using programming languages and software tools.

What is an example of computation?

In the context of a Computational Modeling Scientist, an example of computation is performing mathematical calculations or simulations using algorithms and software to analyze complex systems. This often involves programming skills and tools like MATLAB, Python, or specialized modeling software to process data and generate models. Computation enables scientists to predict behaviors and test hypotheses in various scientific fields.

What is a Computational Modeling Scientist job?

A Computational Modeling Scientist uses mathematical models, simulations, and computational techniques to analyze complex systems and predict behaviors across various fields, such as physics, biology, engineering, and finance. They develop algorithms, implement numerical methods, and work with large datasets to extract insights. Their role often involves programming, data analysis, and collaboration with researchers to optimize designs or solve scientific and engineering challenges.

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Computational Modeling Scientist jobs near you
Infographic showing various Computational Modeling Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Scientist Nucleic Acids Computational Biology - Cambridge Crossing MA

Scientist Nucleic Acids Computational Biology - Cambridge Crossing MA

Veteran Jobs - 2023 Mar 01 - Veterans Resources

Allston, MA • On-site

Other

Posted 29 days ago

Job description

 

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is On-Site at the location detailed in the job post.
JOB SUMMARY
We are seeking a highly motivated and innovative scientist to drive advances at the interface of RNA biology, computational modeling, and machine learning. In this role, you will design and implement cutting-edge computational approaches to uncover RNA structure-function relationships and to support discovery and development programs across the organization. You will work with complex datasets and build computational tools that provide high-throughput, data-driven insights to accelerate next-generation mRNA medicines.
The ideal candidate has a strong foundation in RNA biology, is proficient with RNA secondary structure analysis tools, and has hands-on programming experience in languages such as Python or R. You will work extensively in cloud-based, high-performance computing environments and apply modern software engineering practices to deliver robust, scalable, and well-documented computational solutions.
This is a highly collaborative role, requiring close partnership with both wet-lab and dry-lab teams. You will manage multiple dynamic projects, help shape scientific strategy, and clearly communicate findings to diverse stakeholders. A strong track record of impactful research-demonstrated by publications or patent contributions-is strongly preferred. If you excel in a fast-paced, interdisciplinary environment and are excited to push the boundaries of computational RNA science, we would love to hear from you.
RESPONSIBILITIES
Build and implement custom mRNA optimization strategies to fine tune expression, stability, and immunogenicity, and function of the RNA payload.
Innovate on mRNA designs by utilizing scientific literature to implement novel design principles.
Collaborate within the RNA sciences team to generate and analyze NGS data from RNA structure probing and other RNA biology-directed experiments such as SHAPE-MaP, DMS-MaP, ribosome profiling, RIP-seq etc.
Lead crossfunctional collaboration with experimental biologists, molecular biologists, and therapeutic project teams to design studies, set experimental priorities, and validate computational discoveries.

     

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