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Agent Based Modeling Scientist Jobs in Raleigh, NC

This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty ...

This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/yr

Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

... agent-based applications. Responsibilities : • Co-architect and co-build production AI agents ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

... agent frameworks, optimize retrieval‑augmented generation pipelines, fine‑tune language models ... based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and ...

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

... agent-based applications. • Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes. • Apply security best practices ...

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

Based in Raleigh and Durham, North Carolina, the American lifestyle brand has grown to include ... solutions with the model catalog, RAG, and Foundry Agent Service (applicable to this role)

Leading code reviews, acting as a final approver of models before reaching customers * Evaluating ... Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running ...

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Agent Based Modeling Scientist information

See Raleigh, NC salary details

$32.1K

$49.2K

$93.8K

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

As of Aug 7, 2026, the average yearly pay for agent based modeling scientist in Raleigh, NC is $49,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $47,600.00 per year, depending on experience, location, and employer.

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

Postdoctoral Associate

Duke University

Durham, NC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

484th of 616 rated colleges and universities


Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You.
The Department of Population Health Sciences in Duke University School of Medicine invites applications for a Postdoctoral Research Associate to join a rigorous, data-intensive research team. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification, and large-scale simulation. The successful candidate will contribute to the development of an HIV epidemic simulation that integrates dynamic social and sexual networks, heterogeneous susceptibility and infectiousness, treatment and prevention interventions, and realistic behavioral processes to evaluate strategies for reducing HIV transmission.
The Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a highly collaborative environment that includes expertise in infectious disease epidemiology, network science, computational immunology, mathematical modeling, and HIV clinical care. The position is intended to provide intensive methodological training, opportunities for scientific leadership, and support for developing an independent research program.
The project centers on the development of a calibrated agent-based HIV epidemic simulation representing populations in the U.S. South. The model will incorporate realistic network structures, behavioral dynamics, treatment uptake and adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios.
Minimum Requirements:
A PhD degree is required.
Preferred Qualifications:
  • Experience with mathematical, computational, or statistical modeling
  • Experience developing simulation models, agent-based models, network models, stochastic systems, or dynamical systems
  • Experience with R or Python
  • Experience working in high-performance computing environments
  • Familiarity with version control systems such as Git or GitHub
  • Demonstrated scientific writing and publication experience
  • Interest in infectious disease modeling, network science, public health, or population dynamics

Ideal for candidates who:
  • Have recently completed (or are near completion of) a doctoral degree in Applied Mathematics, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field
  • Demonstrate strong computational and quantitative problem-solving skills
  • Have experience developing reproducible analytical workflows
  • Are interested in large-scale simulation, uncertainty quantification, and model calibration
  • Are motivated to work on interdisciplinary scientific questions that combine social, behavioral, biological, and population-level processes
  • Exhibit strong critical thinking, creativity, and attention to detail
  • Are interested in leading scientific manuscripts and developing independent research ideas for future grant funding

Be Bold.
Position Description:
Agent-Based and Network Modeling: The Postdoctoral Associate will lead development of an agent-based HIV epidemic simulation that integrates realistic social and sexual networks with individual-level behavioral and biological processes. The position involves designing simulation architectures, implementing dynamic network models, developing synthetic populations, and evaluating intervention scenarios relevant to HIV interventions.
Open-Source Code and Model Development: The Postdoctoral Associate will contribute to the creation of scalable, reproducible software for epidemic simulation and analysis. Responsibilities include model implementation, workflow automation, software documentation, performance optimization, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable.
Model Calibration, Validation, and Uncertainty Quantification: The Postdoctoral Associate will develop and implement approaches for parameter estimation, calibration, validation, sensitivity analysis, and uncertainty quantification. This work will involve integrating observational and surveillance data into simulation frameworks and evaluating model performance against population-level epidemiological targets.
Manuscripts & Scientific Communication: The Postdoctoral Associate will lead and contribute to peer-reviewed publications, conference presentations, and scientific reports. The position is structured to support first-author publications and the development of a strong publication portfolio. The candidate will also have opportunities to contribute to grant applications and develop independent research ideas for future external funding.
Collaborative Team Science: The Postdoctoral Associate will work closely with an interdisciplinary team of investigators with expertise spanning epidemiology, mathematics, network science, computational immunology, and HIV medicine. The position offers opportunities to collaborate across multiple disciplines while maintaining substantial scientific independence.
Professional Development: The position is designed to support the transition to research independence. The Postdoctoral Associate will receive mentorship in scientific leadership, manuscript development, external grant writing, and career development. Candidates interested in pursuing academic, government, industry, or research-intensive careers are encouraged to apply.
Appointment:
This is a full-time, 12-month appointment supported by project funding. Continued employment beyond the project period is dependent on the availability of future project funding.
Hybrid and remote work arrangements may be considered for highly qualified candidates.
Required Application Documents:
  • Current CV
  • Cover letter describing research interests and career goals
  • Statement of research interests
  • One representative writing sample (reflecting independent work)
  • Contact information for three references

Choose Duke.
Join our award-winning team as identified by Forbes magazine as America's Best Large Employer 2024 and be part of an inclusive culture that values excellence, innovation, and discovery. As an organization, we have exciting opportunities to be forward-thinking leaders in our field. We want talented individuals to join us, examine our current operations, and create innovative solutions that will revolutionize and enhance the way we approach our work.
Duke University is consistently ranked among the top universities worldwide and is renowned for its cutting-edge research across disciplines.
Beyond the engaging work, you'll also benefit from Duke's competitive benefits package including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more.
Diversity Statements:
Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US