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Agent Based Modeling Scientist Jobs in Ohio (NOW HIRING)

Senior Staff Agentic AI Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

Bachelor's Degree in Computer Science or related field of study. * 12+ years of experience in ... Agent Based Modeling * Amazon Web Services (AWS) * Datadog * OpenAI * Grafana * Graph Databases

Collaborate closely with laboratory scientists to design experiments, interpret results, and refine models based on experimental data. Prior wet-lab experience is highly desirable, as this role ...

New

Model serving and deployment. Partner closely with Engineering to build and deploy production-ready ... Hands-on experience building or rigorously evaluating LLM- and agent-based systems (e.g., RAG ...

This involves using System Modeling Language (SysML) 2.0 or a similar Design Innovation Environment ... Most of the work supports the Scientific and Technical Intelligence community. This challenging ...

This involves using System Modeling Language (SysML) 2.0 or a similar Design Innovation Environment ... Most of the work supports the Scientific and Technical Intelligence community. This challenging ...

Senior Scientist

Dayton, OH · Remote

$85K - $116K/yr

This role applies physics-based modeling, image science, and data analytics to detect, track, locate, and characterize remote sensing targets. While familiarity with OPIR is valuable, the primary ...

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Fluency in designing modern AI architectures - including LLM and agent-based systems - is a core ... Train, evaluate, and fine-tune models using best practices in model selection, validation, and ...

Expertise in structure-based drug design (SBDD), including docking, pharmacophore modeling, virtual ... Data science and statistical analysis skills, including exploratory data analysis and model ...

... models (LoRA, QLoRA, PEFT). * Contribute to agent-based applications using frameworks like ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related ...

... models (LoRA, QLoRA, PEFT). * Contribute to agent-based applications using frameworks like ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related ...

AI Agent Engineer

Dayton, OH

$76K - $102K/yr

We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the ... Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or ...

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Agent Based Modeling Scientist information

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.

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 are popular job titles related to Agent Based Modeling Scientist jobs in Ohio? For Agent Based Modeling Scientist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling Scientist jobs in Ohio look for? The top searched job categories for Agent Based Modeling Scientist jobs in Ohio are:
What cities in Ohio are hiring for Agent Based Modeling Scientist jobs? Cities in Ohio with the most Agent Based Modeling Scientist job openings:

Sr Material Research Scientist (Physics-Based Modeling)

Riverside Research

Dayton, OH

$130K - $220K/yr

Full-time

Re-posted 28 days ago


Job description

Riverside Overview

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.

Position Overview

Riverside Research is seeking an experienced Senior Material Research Scientist to join our cutting-edge research team. The successful candidate will lead the development and application of advanced physics-based models to understand, predict and optimize the behavior and performance of advanced composite materials. This role involves working closely with material scientists, engineers, data analysts, and AI/ML scientists to drive innovation in composite materials for aerospace applications.

Responsibilities

  • Lead the technical direction with government and team, and mentor junior/mid-level staff.
  • Develop and validate physics-based models for the behavior and performance of advanced composite materials.
  • Simulate the mechanical, thermal, and chemical properties of composite materials using computational tools.
  • Integrate multi-scale modeling approaches to link microstructural features with macroscopic properties.
  • Collaborate with experimental researchers to correlate modeling predictions with experimental data.
  • Analyze and interpret simulation results to guide the development and optimization of composite materials.
  • Utilize finite element analysis (FEA), computation fluid dynamics (CFD) and other simulation techniques to study composite materials.
  • Prepare technical reports, presentations, and publication to communicate research findings.

Qualifications

  • Bachelor’s degree in physics, materials science, mechanical engineering, or a related field with a focus on computational modeling and simulation with 8 years of experience or 6 years with MS or 3 years with PhD.
  • Active Top Secret security clearance.
  • Proven experience leading a technical project and team.
  • 5+ years of experience in physics-based modeling of composite materials.
  • Proficiency in computational modeling tools such as ABAQUS, ANSYS, COMSOL, or similar software.
  • Experience with multiscale modeling and integration of different simulation methods.

Global Comp

$130,000-$220,000 This represents the typical compensation range for this position based on experience, location and other factors.

Closing Statement

Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.