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Agent Based Modeling Jobs in Pennsylvania (NOW HIRING)

Merck & Co.

$71K - $113K/yr

Collaboration with modeling scientists, data scientists, IT partners, and subject matter experts will ensure effective deployment of ordinary differential equation and agent-based vaccine models ...

ASCENSUS

Application Architect

Dresher, PA

Practical experience designing, prototyping, or delivering agent-based or model-assisted application capabilities (e.g., orchestration, tool/API integration, guardrails, observability, and production ...

ASCENSUS

Application Architect

Philadelphia, PA

Practical experience designing, prototyping, or delivering agent-based or model-assisted application capabilities (e.g., orchestration, tool/API integration, guardrails, observability, and production ...

ARL Network

Billing Manager

Coraopolis, PA · On-site

Experience in an agent-based or owner-operator transportation model. ? Experience managing distributed or offshore teams. ? Familiarity with ARL's technology stack and TMS environment. ARL Core ...

AVEVA

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Implementing AI orchestration frameworks and agent-based architectures using technologies such as Semantic Kernel, AI Foundry, Microsoft Agent Framework (MAF), Model Context Protocol (MCP), and ...

Aveva

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Implementing AI orchestration frameworks and agent-based architectures using technologies such as Semantic Kernel, AI Foundry, Microsoft Agent Framework (MAF), Model Context Protocol (MCP), and ...

ERM

Right-of-Way Agent (Field Based)

Philadelphia, PA · On-site +1

$37.61 - $45.47/hr

We call this capability our "boots to boardroom" approach for its comprehensive service model that ... Based on review of these responses, shortlisted candidates will be invited for interviews. ERM does ...

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How much do agent based modeling jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for agent based modeling in Pennsylvania is $30.22, according to ZipRecruiter salary data. Most workers in this role earn between $23.61 and $39.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the agent based modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are some typical challenges faced in an agent based modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.

What is an agent based modeling?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What are the most commonly searched types of Agent Based Modeling jobs in Pennsylvania? The most popular types of Agent Based Modeling jobs in Pennsylvania are:
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What cities in Pennsylvania are hiring for Agent Based Modeling jobs? Cities in Pennsylvania with the most Agent Based Modeling job openings:
Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $62,853 per year, or $30.2 per hour.

Post-Doctoral Associate

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 8 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 615 rated colleges and universities

Job description

Description
The Software and Societal Systems Department, in the School of Computer Science, at Carnegie Mellon University is looking to hire two Post-Doctoral Associate who are interested in applying computational social science approaches to the study of online harms. Ongoing projects in which these postdocs will be involved include - assessment of influence campaigns and measuring their impact, meme analysis, online threat detection, assessment of techniques for countering information maneuvers, differences in online harms and influence campaigns across countries, geo-spatial differences in online harms. Successful applicants will need experience in either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Prefernce for those with experience in geo-spatial analysis, assessment of images, or assessment of memes. Preference for those with experience working with large scale data, millions of actors and messages. Successful candidates will work on at least two related agent-based simulation and empirical analysis projects, develop and run virtual experiments, analyze existing social media data, document results, write papers with Dr. Carley and possibly relevant PhD students, and present those results in the IDeaS conference. Candidates should be interested in studying behavior where the media posts are in non-English languages i.e. Chinese and Russian.
Qualifications
• Must have a PhD in STEM Field (including computational or mathematical social science).
• Ability to program in C and Python.
• Must know basic statistics.
• Experience in social network analysis.
• Experience using, building, validating and working generally with ABM's.
• Excellent writing skills for academic writing.

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