The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is ...
The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is ...
Laser Plasma Interaction Computational Physicist
Denver, CO · On-site
$170K - $210K/yr
... models. * Architect simulation software using modular, extensible, and maintainable scientific ... Education: PhD in Computational Physics, Plasma Physics, Applied Physics, or a closely related ...
Quick apply
Laser Plasma Interaction Computational Physicist
Denver, CO · On-site
$170K - $210K/yr
... models. * Architect simulation software using modular, extensible, and maintainable scientific ... Education: PhD in Computational Physics, Plasma Physics, Applied Physics, or a closely related ...
The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is ...
The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is ...
The Scientist will work closely with both computational and experimental colleagues to interpret ... Apply and refine computational models that integrate screening data with structural and sequence ...
The Scientist will work closely with both computational and experimental colleagues to interpret ... Apply and refine computational models that integrate screening data with structural and sequence ...
Apply and refine computational models that integrate screening data with structural and sequence ... Tackle difficult scientific problems with creativity and resilience while iterating quickly as new ...
Apply and refine computational models that integrate screening data with structural and sequence ... Tackle difficult scientific problems with creativity and resilience while iterating quickly as new ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
Quick apply
... 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 ...
... 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 ...
Quick apply
... 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 ...
Use generative AI and computational modeling to develop learned representations and priors that ... Preferred Qualifications PhD in Computer Science, Biomedical Engineering, Computational ...
Use generative AI and computational modeling to develop learned representations and priors that ... Preferred Qualifications PhD in Computer Science, Biomedical Engineering, Computational ...
Tech Staff Neurocognitive Analysis, Modeling, and Simulation with Security Clearance
Lexington, MA · On-site
The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is ...
Tech Staff Neurocognitive Analysis, Modeling, and Simulation with Security Clearance
Lexington, MA · On-site
The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is ...
XCP-2 staff span a wide range of computational physics modeling disciplines including numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence ...
XCP-2 staff span a wide range of computational physics modeling disciplines including numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence ...
XCP-2 staff span a wide range of computational physics modeling disciplines including numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence ...
XCP-2 staff span a wide range of computational physics modeling disciplines including numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence ...
XCP-2 staff span a wide range of computational physics modeling disciplines including numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence ...
XCP-2 staff span a wide range of computational physics modeling disciplines including numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence ...
Data Scientist
Egg Harbor Township, NJ · On-site
... computational models, programming of detection algorithms, and machine learning. * Maintains ... Working knowledge of statistics as it applies to scientific data * Ability to communicate technical ...
Data Scientist
Egg Harbor Township, NJ · On-site
... computational models, programming of detection algorithms, and machine learning. * Maintains ... Working knowledge of statistics as it applies to scientific data * Ability to communicate technical ...
... computational models, programming of detection algorithms, and machine learning. * Maintains ... Working knowledge of statistics as it applies to scientific data * Ability to communicate technical ...
Quick apply
... computational models, programming of detection algorithms, and machine learning. * Maintains ... Working knowledge of statistics as it applies to scientific data * Ability to communicate technical ...
... computational models, programming of detection algorithms, and machine learning. * Maintains ... Working knowledge of statistics as it applies to scientific data * Ability to communicate technical ...
... computational models, programming of detection algorithms, and machine learning. * Maintains ... Working knowledge of statistics as it applies to scientific data * Ability to communicate technical ...
Research/Sr. Research Investigator, Computational Chemistry
Wilmington, DE · On-site
$95K - $121K/yr
Overview A global biopharmaceutical company on a mission to Solve On, Incyte follows science to ... Lead and execute computational modeling initiatives for multiple internal drug discovery programs ...
Research/Sr. Research Investigator, Computational Chemistry
Wilmington, DE · On-site
$95K - $121K/yr
Overview A global biopharmaceutical company on a mission to Solve On, Incyte follows science to ... Lead and execute computational modeling initiatives for multiple internal drug discovery programs ...
Research/Sr. Research Investigator, Computational Chemistry
Wilmington, DE · On-site
$95K - $121K/yr
... models) in drug discovery is strongly preferred • Knowledge of ADME/PK and physicochemical property prediction is strongly preferred Key Competencies • Strong scientific rigor and critical ...
Research/Sr. Research Investigator, Computational Chemistry
Wilmington, DE · On-site
$95K - $121K/yr
... models) in drug discovery is strongly preferred • Knowledge of ADME/PK and physicochemical property prediction is strongly preferred Key Competencies • Strong scientific rigor and critical ...
Computational Scientist
San Francisco, CA · On-site
$150K - $250K/yr
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table.
Computational Scientist
San Francisco, CA · On-site
$150K - $250K/yr
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table.
Computational Modeling Scientist information
See salary details
$50.5K - $58.4K
2% of jobs
$58.4K - $66.3K
0% of jobs
$66.3K - $74.2K
5% of jobs
$74.2K - $82.1K
0% of jobs
$82.1K - $90K
1% of jobs
$93.1K is the 25th percentile. Wages below this are outliers.
$90K - $98K
42% of jobs
$98K - $105.9K
1% of jobs
$105.9K - $113.8K
1% of jobs
$113.8K - $121.7K
19% of jobs
$121.7K - $129.6K
0% of jobs
$130.4K is the 75th percentile. Wages above this are outliers.
$129.6K - $137.5K
28% of jobs
$50.5K
$111.3K
$137.5K
How much do computational modeling scientist jobs pay per year?
As of Jul 17, 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 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.
What is the most futuristic job?
A Computational Modeling Scientist is involved in developing advanced simulations and algorithms using high-performance computing and machine learning. Such roles often require expertise in programming, data analysis, and scientific research, and they contribute to cutting-edge fields like artificial intelligence, robotics, and quantum computing, making them highly forward-looking careers.
What is the highest paying job in computational biology?
In computational biology, senior roles such as Director of Computational Biology or Principal Scientist typically have the highest salaries, often exceeding $150,000 annually. These positions require advanced expertise in bioinformatics, data analysis, and programming, along with extensive experience and leadership skills.
What does a computational scientist do?
A computational modeling scientist develops and applies computer-based models to simulate complex systems in fields like biology, physics, or engineering. They use programming languages, statistical tools, and data analysis techniques to interpret results and support decision-making or research. Strong problem-solving skills and knowledge of algorithms are essential in this role.
Is computational modeling AI?
Computational modeling is a method used to simulate and analyze complex systems using mathematical algorithms and computer programs. While it can incorporate artificial intelligence techniques like machine learning, it is not inherently AI but a broader approach that includes various computational methods. Computational modeling scientists often use programming languages and data analysis tools to develop models relevant to their field.
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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Tech Staff Neurocognitive Analysis, Modeling, and Simulation
Lexington, MA • On-site
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 7 days ago
Job description
The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Job Description
The Human Health & Performance Systems Group is searching for a candidate to participate in and lead projects related to detecting, monitoring, and rehabilitating psychological, neurological and sensory (e.g., auditory, visual, vestibular) disorders, neurotrauma, and cognitive overload and fatigue. Analysis involves features based on mechanistic neuro-biophysical and neuro-motor computational modeling, neuromorphic (software and hardware) simulations, neural interface (e.g., EEG) technology, and machine learning coupled to brain imaging and neural tracing representations. We seek nonintrusive interactive interfaces to maximize effect of treatment and training and maximize resilience. Interfaces can take the form of neural and physiological wearables, sensory feedback therapies, and virtual humans and environments.
The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is gained, the candidate will be required to generate their own innovative ideas and seek support for these program ideas. Background is required in advanced signal processing and machine learning. Background is desired in neuroscience (preferably modeling of neuro-motor and sensory systems and the neural basis of speech perception and production and vision). It is also desirable that the candidate have skills in neuromorphic computing (software and hardware) at both neural system and neural cell levels for real-time neurocomputational simulations. Hardware development experience is desirable. Candidate should also demonstrate abilities that include programming with Python, and/or C++, as well as statistical analysis and machine learning (scikit-learn, PyTorch, Tensorflow) capabilities. The candidate should hold a Ph.D. or Sci.D. in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Neurocognitive Science, Speech/Hearing Sciences, or a similar technical field.
Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,200 - $220,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42798
Job Description
The Human Health & Performance Systems Group is searching for a candidate to participate in and lead projects related to detecting, monitoring, and rehabilitating psychological, neurological and sensory (e.g., auditory, visual, vestibular) disorders, neurotrauma, and cognitive overload and fatigue. Analysis involves features based on mechanistic neuro-biophysical and neuro-motor computational modeling, neuromorphic (software and hardware) simulations, neural interface (e.g., EEG) technology, and machine learning coupled to brain imaging and neural tracing representations. We seek nonintrusive interactive interfaces to maximize effect of treatment and training and maximize resilience. Interfaces can take the form of neural and physiological wearables, sensory feedback therapies, and virtual humans and environments.
The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis. As experience is gained, the candidate will be required to generate their own innovative ideas and seek support for these program ideas. Background is required in advanced signal processing and machine learning. Background is desired in neuroscience (preferably modeling of neuro-motor and sensory systems and the neural basis of speech perception and production and vision). It is also desirable that the candidate have skills in neuromorphic computing (software and hardware) at both neural system and neural cell levels for real-time neurocomputational simulations. Hardware development experience is desirable. Candidate should also demonstrate abilities that include programming with Python, and/or C++, as well as statistical analysis and machine learning (scikit-learn, PyTorch, Tensorflow) capabilities. The candidate should hold a Ph.D. or Sci.D. in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Neurocognitive Science, Speech/Hearing Sciences, or a similar technical field.
Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,200 - $220,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
- Comprehensive health, dental, and vision plans
- MIT-funded pension
- Matching 401K
- Paid leave (including vacation, sick, parental, military, etc.)
- Tuition reimbursement and continuing education programs
- Mentorship programs
- A range of work-life balance options
- ... and much more!
Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42798
About MIT Alumni Association
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Cambridge, MA, US
Year founded
1875