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Agent Based Modeling Scientist Jobs (NOW HIRING)

Operations Research Analyst

El Segundo, CA · On-site

$104.90K - $124.10K/yr

... agent-based methods • Develop and apply analytical models for cross-enterprise architecture ... scientific assumptions, study design, and model validation • Maintain configuration control of ...

New

Research Scientist

New York, NY · On-site

$200K - $300K/yr

Your work will shape the scientific agenda of the lab and inform everything we build. You'll have ... LLMs, RL, agent-based systems, generative modeling, theory of intelligence. * Strong mathematical ...

OR

$135K - $225K/yr

Experience with GenAI, LLMs, RAG pipelines, or agent-based systems. * Familiarity with healthcare data models, payer/provider structures, and life sciences use cases. * Experience building reusable ...

We are seeking a Senior Data Scientist to collaborate in design, development, and deployment of ... The ideal candidate will combine expertise in simulation modeling (Agent-Based, Discrete-Event ...

We are seeking a Senior Data Scientist to collaborate in design, development, and deployment of ... The ideal candidate will combine expertise in simulation modeling (Agent-Based, Discrete-Event ...

We are seeking a Senior Data Scientist to collaborate in design, development, and deployment of ... The ideal candidate will combine expertise in simulation modeling (Agent-Based, Discrete-Event ...

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Agent Based Modeling Scientist information

See salary details

$33K

$50.6K

$96.5K

How much do agent based modeling scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for agent based modeling scientist in the United States is $50,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $49,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Agent Based Modeling Scientist, and why are they important?

To thrive as an Agent Based Modeling Scientist, you need expertise in computational modeling, systems theory, and a strong background in mathematics or related fields, often supported by an advanced degree. Proficiency with programming languages such as Python, Java, or NetLogo and familiarity with simulation software are typically required. Analytical thinking, problem-solving, and the ability to communicate complex concepts clearly are valuable soft skills in this role. These skills are crucial for accurately developing, interpreting, and conveying insights from agent-based models to inform research or decision-making.

How does an Agent Based Modeling Scientist typically collaborate with interdisciplinary teams during a project?

Agent Based Modeling Scientists often work closely with experts from fields such as economics, epidemiology, engineering, and computer science to ensure that models accurately reflect real-world systems. Collaboration usually involves regular meetings to define system parameters, validate model assumptions, and interpret simulation results. Effective communication is essential, as team members may not always be familiar with agent-based modeling concepts. Sharing insights and translating technical findings for broader audiences helps ensure models are both robust and actionable for decision-makers.

What is an Agent Based Modeling Scientist?

An Agent Based Modeling (ABM) Scientist is a researcher or professional who develops computational models that simulate the actions and interactions of autonomous agents (such as individuals, groups, or entities) to study complex systems. These scientists use ABM techniques to analyze how the behavior of individual agents leads to collective outcomes, often in fields like biology, economics, social sciences, and epidemiology. Their work involves designing models, running simulations, and interpreting data to gain insights into system dynamics and emergent phenomena.

What is the difference between Agent Based Modeling Scientist vs Data Scientist?

AspectAgent Based Modeling ScientistData Scientist
Required CredentialsMaster's or PhD in computer science, mathematics, or related fields; experience with modeling and simulationDegree in statistics, computer science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentResearch labs, academia, or industry focused on simulation and modeling projectsBusiness, tech companies, or consulting firms analyzing large datasets
Industry UsageResearch, simulation, complex systems modelingData analysis, predictive modeling, business insights

While both roles require strong analytical skills and programming knowledge, an Agent Based Modeling Scientist specializes in creating simulations of autonomous agents within complex systems, whereas a Data Scientist focuses on analyzing and interpreting large datasets to inform business decisions.

More about Agent Based Modeling Scientist jobs
What cities are hiring for Agent Based Modeling Scientist jobs? Cities with the most Agent Based Modeling Scientist job openings:
What states have the most Agent Based Modeling Scientist jobs? States with the most job openings for Agent Based Modeling Scientist jobs include:
Infographic showing various Agent Based Modeling Scientist job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 13% Part Time, 3% Temporary, and 10% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $50,572 per year, or $24.3 per hour.
Co-op - Computational Lab

Co-op - Computational Lab

United Therapeutics

Silver Spring, MD

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

California, US residentsclick here.

The job details are as follows:

Who We Are

We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation. Our public benefit purpose is to provide a brighter future for patients through the development of novel pharmaceutical therapies; and technologies that expand the availability of transplantable organs.

United Therapeutics (Nasdaq: UTHR) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We were founded in 1996 by a family seeking a cure for their daughter's pulmonary arterial hypertension (PAH). Today, we have six FDA-approved therapies that treat PAH, pulmonary hypertension associated with interstitial lung disease (PH-ILD) and neuroblastoma, a rare pediatric cancer. Our near-term pipeline seeks to develop additional therapies for PAH and pulmonary fibrosis (PF).

The cure for end-stage life-threatening diseases like PAH, PH-ILD, PF, and many others is an organ transplant, but only a small percentage of donated organs are available to address the vast need. For this reason, we are working to create manufactured organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option.

Who You Are

UT's computational systems biology lab in Silver Spring, MD is building an in-silico model of the lung to support drug development. In this role as a Spring 2026 Co-op, you will assist in the development and implementation of mathematical models of molecular and physiological processes that regulate lung diseases and drug response. This coop will run from June/July (or sooner) for 6 months.

  • Conduct research on mathematical modeling approaches to add new features to the in-silico lung model; evaluate suitability for addressing research questions and feasibility of implementation
  • Identify data in the literature and public repositories suitable for training and validating mathematical models
  • Implement mathematical models by developing well-documented code using version control systems
  • Present plans and results regularly to members of the computational lab and other scientists within the company

Example projects could include:

  • Simulate the complex interplay between lung tissue mechanics and fluid dynamics (either air or blood), with a focus on how mechanical alterations due to disease conditions can affect clinical measurements related to hemodynamics and pulmonary function testing
  • Apply statistical / machine learning approaches to analyze large-scale molecular data (transcriptomics, proteomics, etc.) to derive insights into lung function and drug response
  • Generate mechanistic ODE-based models of signaling pathways relevant to lung physiology and drug response, and apply quantitative systems pharmacology approaches to assist with clinical development objectives
  • Apply agent-based modeling to represent behavior of cell populations on tissue engineered scaffolds

Minimum qualifications:

  • Candidates are expected to be actively enrolled in a Master's or PhD program in a science/engineering discipline
  • Available to work 40 hours/week onsite in Silver Spring, MD
  • Experience with implementation of modeling and simulation (either PDE-based fluid dynamics, ODE-based signaling models, or agent-based modeling) or bioinformatics / machine learning skills (project-dependent)
  • Highly self-motivated
  • Excellent teamwork skills
  • Strong writing and communication skills
  • Proficiency in at least one of the following: R, Python, Julia, Matlab, or other programming language

Eligible employees may participate in the Company's comprehensive benefits suite of programs, including medical / dental / vision / prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit https://www.unither.com/careers/benefits-and-amenities

United Therapeutics Corporation is an Equal Opportunity Employer, including veterans and individuals with disabilities.