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Medical Simulation Jobs in Boston, MA (NOW HIRING)

BMC Software

Medical Dosimetrist (Senior/Staff)

Boston, MA · On-site

$112K - $162K/yr

Simulation & Immobilization Collaboration: Coordinates treatment simulations and tumor localization ... medical, dental, vision, pharmacy), discretionary annual bonuses and merit increases, Flexible ...

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Medical Simulation information

See Boston, MA salary details

$42.4K

$134.1K

$207K

How much do medical simulation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for medical simulation in Boston, MA is $134,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $159,200.00 per year, depending on experience, location, and employer.

What is medical simulation?

Medical simulation is a training technique that uses realistic scenarios, mannequins, virtual reality, or computer-based models to replicate clinical situations for healthcare professionals. It allows doctors, nurses, and medical students to practice procedures, critical thinking, and teamwork in a safe and controlled environment without risk to real patients. This hands-on approach improves skills, enhances patient safety, and helps learners gain confidence before working in real clinical settings.

What are medical simulation jobs?

Jobs in the medical simulation field include simulation technicians or specialists, simulation coordinators, and simulation operators. Your responsibilities as a simulation operator include operating the equipment used for simulation, maintaining or adjusting the equipment, operating audio and video equipment, facilitating training, creating troubleshooting documents, and providing orientation to personnel. As a simulation program coordinator, you implement, develop, and evaluate integrated simulated clinical experiences. You also work to ensure the right learning outcomes for participants as defined in the syllabus. A simulation technician or specialist’s duties include programming the simulator software, performing preventative maintenance to keep the simulators working, helping with record keeping and data input, and giving tours to people who use the simulators.

What is the difference between Medical Simulation vs Medical Educator?

AspectMedical SimulationMedical Educator
CredentialsTypically requires healthcare background, certifications in simulation or trainingRequires healthcare credentials, teaching certifications often preferred
Work EnvironmentSimulation labs, training centers, hospitalsClassrooms, hospitals, academic institutions
Industry UsageDesigning and managing simulation scenarios for trainingTeaching and curriculum development for medical students and staff

Medical Simulation specialists focus on creating realistic training scenarios using simulation technology, while Medical Educators develop and deliver educational content. Both roles require healthcare knowledge, but Medical Simulation emphasizes technical setup and scenario design, whereas Medical Educators concentrate on teaching and curriculum planning.

What are some common challenges faced by professionals working in medical simulation, and how can they be addressed?

Professionals in medical simulation often encounter challenges such as keeping up with rapidly evolving technologies, ensuring realism in scenarios, and coordinating schedules among busy healthcare staff. Addressing these challenges involves ongoing professional development, collaborating closely with clinicians to design relevant simulations, and maintaining open communication with stakeholders. Additionally, fostering a culture of continuous feedback helps improve both the learning experience and the effectiveness of simulation programs.

What are the key skills and qualifications needed to thrive as a medical simulation specialist, and why are they important?

To thrive as a Medical Simulation Specialist, you need a background in healthcare, education, or biomedical engineering, along with knowledge of clinical procedures and adult learning principles. Familiarity with simulation technologies, such as high-fidelity manikins, audiovisual systems, and scenario development software, is typically required, and certifications like Certified Healthcare Simulation Educator (CHSE) can be advantageous. Excellent problem-solving, communication, and teamwork skills help facilitate training sessions and coordinate with educators and clinicians. These competencies ensure effective, realistic training environments that enhance healthcare professionals' skills and patient safety.
More about Medical Simulation jobs
What are the most commonly searched types of Medical Simulation jobs in Boston, MA? The most popular types of Medical Simulation jobs in Boston, MA are:
What are popular job titles related to Medical Simulation jobs in Boston, MA? For Medical Simulation jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Medical Simulation jobs in Boston, MA look for? The top searched job categories for Medical Simulation jobs in Boston, MA are:
What cities near Boston, MA are hiring for Medical Simulation jobs? Cities near Boston, MA with the most Medical Simulation job openings:
Medical Simulation jobs near you
Infographic showing various Medical Simulation job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $134,061 per year, or $64.5 per hour.

Data Scientist - Simulation (Senior - Principal) (Wilmington)

Symbotic

Wilmington, MA • On-site

$149K - $204K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

180th of 242 rated software companies

Job description

USA Wilmington, MA - HQ

Data Scientist – Simulation (Senior - Principal) What we need

We are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models that power next‑generation robotic warehouse systems. In this role, you will build high‑fidelity simulations of large‑scale robotic fleets, optimize system performance, and inform strategic product and operational decisions.

This is a highly cross‑functional position spanning data science, robotics, operations research, and distributed systems, where your work will directly impact efficiency, throughput, and scalability of real‑world automation systems.

What we do

We design, test, and deploy advanced robotic systems that improve warehouse throughput, efficiency, and reliability at scale. By reducing reliance on physical testing, we accelerate innovation cycles and drive significant operational savings and productivity gains across real‑world production environments. Our team tackles complex automation and optimization challenges alongside world‑class engineers and scientists, with the opportunity to directly influence cutting‑edge systems deployed in the field.

Your responsibilities
  • Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human‑robot interaction.
  • Build discrete‑event and agent‑based simulations to model complex, stochastic environments at scale.
  • Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization.
  • Partner with robotics, software, and operations teams to evaluate new algorithms (routing, task assignment, scheduling), test system changes before production deployment, identify bottlenecks and failure modes.
  • Create digital twins of warehouse environments to enable scenario testing and capacity planning.
  • Apply machine learning and statistical techniques to improve simulation realism and calibration.
  • Deliver clear insights and recommendations to technical and executive stakeholders.
  • Establish best practices for model validation, experimentation, and reproducibility.
Required Qualifications
  • MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
  • Minimum of 5 years (Senior) or 8 years (Principal) in simulation, modeling, or systems optimization.
  • Experience with complex, distributed systems.
  • Strong experience with Discrete‑event simulation (DES) or agent‑based modeling.
  • Python (NumPy, Pandas, SciPy) and/or simulation frameworks (SimPy, AnyLogic, Arena, or custom tools).
  • Solid understanding of probability, stochastic processes, and statistics.
  • Optimization techniques (LP, MIP, heuristics, metaheuristics).
  • Experience working with large datasets and building data pipelines.
  • Ability to translate real‑world system behavior into computational models.
Preferred Qualifications
  • Robotics, warehouse automation, logistics, or supply chain systems.
  • Fleet optimization or multi‑agent systems.
  • Reinforcement learning for decision‑making.
  • Path planning, task allocation, and scheduling algorithms.
  • Digital twin architecture.
  • Experience with C++ or high‑performance systems for large‑scale simulation.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.
  • Background in experimentation platforms or A/B testing in operational systems.
Principal‑Level Expectations
  • Define and drive the long‑term simulation and modeling strategy.
  • Architect scalable simulation platforms used across the organization.
  • Influence product and operational strategy through data‑driven insights.
  • Mentor and grow a team of data scientists and engineers.
  • Serve as a subject matter expert in simulation, optimization, and system modeling.
Tech Stack
  • Python (NumPy, Pandas, SciPy, SimPy).
  • Data platforms (Snowflake, Databricks).
  • Visualization (Grafana, Tableau).
  • Cloud infrastructure (GCP).
  • Optional: Python, C#, and C++.
Our environment
  • Up to 10% travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi‑weekly basis.
Compensation and Benefits

The base range for this position in the posted location is $149,000.00 - $204,600.00; however, base pay offered may vary depending on job‑related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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