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Internship Computational Modeling Scientist Jobs

... 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 ...

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Internship Computational Modeling Scientist information

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$50.5K

$111.3K

$137.5K

How much do internship computational modeling scientist jobs pay per year?

As of Jun 26, 2026, the average yearly pay for internship 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 is the difference between Internship Computational Modeling Scientist vs Data Analyst Intern?

AspectInternship Computational Modeling ScientistData Analyst Intern
Required CredentialsRelevant coursework, programming skills, possibly some experience in modelingStatistics, data analysis, programming, often some coursework or experience
Work EnvironmentResearch labs, tech companies, biotech firms, industry R&DBusiness, finance, healthcare, tech companies
Employer & Industry UsageResearch-focused roles in science and engineering sectorsData-driven decision making in various industries
Search & Comparison IntentUnderstanding modeling roles, technical skills, internship opportunitiesAnalyzing data, skills required, internship details

The Internship Computational Modeling Scientist typically focuses on developing and applying computational models in scientific research or industry R&D, requiring programming and modeling skills. In contrast, a Data Analyst Intern concentrates on analyzing datasets to inform business decisions, often with statistical and data visualization skills. Both roles involve programming and data handling but differ in their focus and industry applications.

More about Internship Computational Modeling Scientist jobs
What cities are hiring for Internship Computational Modeling Scientist jobs? Cities with the most Internship Computational Modeling Scientist job openings:
What are the most commonly searched types of Computational Modeling Scientist jobs? The most popular types of Computational Modeling Scientist jobs are:
What states have the most Internship Computational Modeling Scientist jobs? States with the most job openings for Internship Computational Modeling Scientist jobs include:
Infographic showing various Internship Computational Modeling Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Tech Staff Neurocognitive Analysis, Modeling, and Simulation

Tech Staff Neurocognitive Analysis, Modeling, and Simulation

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 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: 

  • 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