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Freelance Agent Based Modeling Jobs (NOW HIRING)

Alutiiq

Operations Research Analyst

El Segundo, CA · On-site

$215K - $250K/yr

... agent-based methods Develop and apply analytical models for cross-enterprise architecture studies, development plans, technology development efforts, and military utility studies Assess outcomes and ...

GRVTY

DoD MLOps Software Engineer

Honolulu, HI

Experience with agent-based modeling, AI-enabled simulations, decision-support tools, wargaming systems, and human-machine teaming * Proficient in domain-specific languages (DSLs), scripting ...

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How much do freelance agent based modeling jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for freelance agent based modeling in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Agent Based Modeling vs Freelance Data Analyst?

AspectFreelance Agent Based ModelingFreelance Data Analyst
CredentialsBackground in modeling, simulation, or computational sciencesBackground in statistics, data analysis, or related fields
Work EnvironmentProject-based, often remote, involving simulation softwareRemote or on-site, analyzing datasets and generating reports
Industry UsageResearch, academia, complex system modelingBusiness, marketing, finance, healthcare

Freelance Agent Based Modeling focuses on creating simulations of individual agents within systems, requiring specialized modeling skills. In contrast, Freelance Data Analysts interpret existing data to inform decisions. Both roles are project-based and often remote but serve different industry needs and require distinct skill sets.

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Freelance Agent Based Modeling jobs near you
Associate Research Scientist

Associate Research Scientist

Columbia University in the City of New York

New York, NY • On-site

Full-time

Re-posted 23 days ago

Job description

Description
The Department of Radiology Clinical Research Division invites applications for an Associate Research Scientist to join the Center for Advanced Diagnostic Research (CADRe) of Dr. Stella Kang. The successful candidate will lead the development and implementation of advanced computational models of disease, with a focus on oral lesions and cancers.
This position involves the design, execution, and analysis of quantitative disease simulation models, including state-transition (Markov) models, discrete event simulations, differential equations, and agent-based modeling approaches. The candidate will integrate epidemiologic and clinical data from national datasets and the scientific literature into robust computational frameworks.
Specific duties include:
  • Design, develop, and validate computational disease models using state-transition, discrete event, differential equation, and agent-based modeling methodologies.
  • Implement simulation models in Python, R, C, C++, or other scientific programming environments.
  • Integrate model parameters using national datasets for incidence, mortality, and related epidemiologic outcomes.
  • Conduct structured literature reviews to inform model inputs, assumptions, and validation.
  • Apply principles of diagnostic test accuracy, including ROC analysis.
  • Perform statistical analyses, including multivariable regression and time-to-event methods, as needed to support modeling.
  • Develop and maintain databases of model inputs, outputs, and analytical results.
  • Prepare manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Present regular progress updates to the Principal Investigator and collaborate with a multidisciplinary research team.
  • Mentor junior researchers, including Postdoctoral Fellows and research assistants, as appropriate.

Qualifications
Minimum Qualifications:
  1. Ph.D. in decision sciences, industrial engineering, epidemiology, biostatistics, mathematics, engineering, computational sciences, or a related quantitative field.
  2. Demonstrated expertise in simulation modeling methodologies, including Markov/state-transition, discrete event, differential equation, and/or agent-based modeling.
  3. Strong foundation in probability theory and statistical methods.
  4. Proficiency in scientific programming (Python, R, C, C++, or equivalent).
  5. Experience conducting systematic literature searches using PubMed/MEDLINE, Embase, or similar databases.
  6. Excellent written and oral communication skills in a scientific context.
  7. Strong organizational skills for managing complex datasets and multi-component modeling projects

Preferred Qualifications:
  • Experience in decision analytic modeling or economic evaluation.
  • Knowledge of epidemiologic methods and health outcomes research.
  • Prior involvement in modeling cancer or oral lesion progression.
  • Experience mentoring trainees and collaborating within multidisciplinary research teams.

Apply