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Internship Modeling And Simulation Analyst Jobs in Boston, MA

Perform modeling, simulation, and analysis tasks assess system survivability, system effectiveness, and overall system performance in engagement / mission-level scenarios, with guidance. Prepare and ...

Simulation Engineer

Cambridge, MA · On-site

$62K - $140K/yr

Duties/Responsibilities • Model operational environments, perform studies via computer simulation with guidance. • Perform modeling, simulation, and analysis tasks assess system survivability ...

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains ... Experience with analytical methods, approaches, and data visualization. Excellent mathematical ...

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains ... Skills/Abilities • Strong analytical and problem-solving skills. • Experience with analytical ...

A System Modeling & Simulation Engineer (DMTS) designs, develops, validates, and maintains dynamic ... Experience with analytical methods, approaches, and data visualization. Excellent mathematical ...

A System Modeling & Simulation Engineer (DMTS) designs, develops, validates, and maintains dynamic ... Skills/Abilities • Strong analytical and problem-solving skills. • Experience with analytical ...

Showing results 21-40

Internship Modeling And Simulation Analyst information

See Boston, MA salary details

$42.4K

$110K

$156.4K

How much do internship modeling and simulation analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for internship modeling and simulation analyst in Boston, MA is $110,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $140,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship modeling and simulation analyst, and why are they important?

To thrive as an Internship Modeling and Simulation Analyst, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or a degree in a related field. Familiarity with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and data analysis tools is typically required. Strong problem-solving, analytical thinking, and effective communication skills help you interpret results and collaborate with team members. These competencies are crucial for accurately modeling complex systems, providing actionable insights, and supporting data-driven decision-making.

What is the difference between Internship Modeling And Simulation Analyst vs Internship Data Analyst?

AspectInternship Modeling And Simulation AnalystInternship Data Analyst
Primary FocusDeveloping and analyzing models and simulations for systems or processesCollecting, processing, and interpreting data to support business decisions
Skills & CertificationsKnowledge of modeling software, programming, basic statisticsData analysis tools, Excel, SQL, statistical knowledge
Work EnvironmentEngineering, research labs, technical teamsBusiness, marketing, finance departments
Industry UsageEngineering, aerospace, defense, manufacturingFinance, healthcare, retail, technology

While both internships involve analytical skills, the Internship Modeling And Simulation Analyst focuses on creating models and simulations to analyze systems, whereas the Internship Data Analyst emphasizes interpreting data to inform business strategies. The roles differ in technical focus and industry application but share foundational analytical skills.

What does an internship modeling and simulation analyst do?

An Internship Modeling and Simulation Analyst assists in developing, testing, and evaluating models and simulations used to analyze complex systems or processes. This role typically involves collecting data, running simulations, and interpreting results to support decision-making in fields such as engineering, defense, or business. Interns work closely with experienced analysts, learn to use specialized software, and contribute to projects by troubleshooting, optimizing models, and preparing reports. The position offers hands-on experience and helps build foundational skills in analytical thinking, programming, and teamwork.

What types of projects do internship modeling and simulation analysts typically work on, and how do they contribute to the overall team goals?

Internship Modeling and Simulation Analysts often assist with building and validating computational models, running simulations, and analyzing data to support decision-making in areas like engineering, logistics, or defense. They typically work collaboratively with experienced analysts and engineers, contributing by providing data-driven insights and helping refine modeling approaches. This hands-on experience allows interns to learn industry-standard tools and methods while directly supporting project outcomes. The role is highly interactive, often involving regular meetings and teamwork to align individual analyses with broader project objectives.
What are popular job titles related to Internship Modeling And Simulation Analyst jobs in Boston, MA? For Internship Modeling And Simulation Analyst jobs in Boston, MA, the most frequently searched job titles are:
Infographic showing various Internship Modeling And Simulation Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $110,004 per year, or $52.9 per hour.

Tech Staff Neurocognitive Analysis, Modeling, and Simulation

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 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