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Research Scientist Modeling Jobs (NOW HIRING)

Research Scientist Cursor is building the future of coding. We train frontier coding agents and ... Improve the quality and difficulty of datapoints we use for training our models * Realtime RL for ...

Research Scientist Cursor is building the future of coding. We train frontier coding agents and ... Improve the quality and difficulty of datapoints we use for training our models * Realtime RL for ...

Research Scientist

Worcester, MA Β· On-site

$50K - $60K/yr

The successful candidate will contribute to research that combines CFD modeling, primarily using ... Research Scientist- Indoor Airflow CFD Applications will be reviewed on a rolling basis until the ...

... models in Generative AI β€’ Collaborate with world-class researchers and engineers to bring research ideas to production β€’ Publish and present your work in world-class scientific venues in AI/ML ...

The Research Scientist role involves developing new techniques for understanding and steering large AI models, conducting original research, and collaborating with engineers to create practical tools.

Research Scientist Cursor is building the future of coding. We train frontier coding agents and ... Improve the quality and difficulty of datapoints we use for training our models * Realtime RL for ...

... Research Scientist to join their team. The laboratory is focused on understanding how factors such ... Using a series of basic science and bench side strategies in pre-clinical models, the laboratory ...

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Research Scientist Modeling information

See salary details

$50.5K

$130.1K

$174K

How much do research scientist modeling jobs pay per year?

As of Sep 11, 2026, the average yearly pay for research scientist modeling in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a research scientist modeling do?

A Research Scientist in Modeling develops mathematical, computational, or simulation models to analyze complex systems or phenomena. They use data and theoretical frameworks to create models that can predict outcomes, solve problems, or provide insights in fields such as biology, physics, engineering, or social sciences. Their work often involves collaborating with other scientists, collecting and analyzing data, and publishing findings. The models they create can be used for research, product development, or to inform policy decisions.

What are the key skills and qualifications needed to thrive as a research scientist modeling?

To thrive as a Research Scientist Modeling, you need a strong background in mathematics, statistics, and scientific research, typically supported by an advanced degree (Master’s or PhD) in a relevant field. Expertise in programming languages such as Python or R, experience with simulation software, and familiarity with data analysis tools are commonly required. Critical thinking, problem-solving, and effective communication are essential soft skills for designing experiments and conveying complex findings. These skills enable the development of accurate models, informed decision-making, and collaboration within multidisciplinary research teams.

What are some common challenges faced by research scientist modeling professionals when working on interdisciplinary projects?

Research Scientist Modeling professionals often collaborate with experts from various fields, such as biology, engineering, and computer science. One common challenge is translating complex domain-specific knowledge into mathematical or computational models that are both accurate and accessible to all stakeholders. Effective communication and adaptability are essential, as team members may have diverse perspectives and technical backgrounds. Staying current with advancements in both modeling techniques and domain knowledge is also crucial for success in interdisciplinary environments.

What is the difference between Research Scientist Modeling vs Data Scientist?

AspectResearch Scientist ModelingData Scientist
Required CredentialsMaster's or PhD in STEM fields, specialized modeling skillsBachelor's or Master's in CS, stats, or related fields, strong programming skills
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness settings, tech companies, analytics teams
Industry UsageFocus on developing and validating models for scientific researchAnalyzing data to inform business decisions and strategies

Research Scientist Modeling and Data Scientist roles share a focus on data analysis and modeling but differ in their primary goals. Research Scientists Modeling often work in academic or R&D environments, emphasizing scientific discovery and model development. Data Scientists typically operate within business contexts, applying data analysis to solve practical problems. Both roles require strong analytical skills, but their applications and work settings vary.

What are popular job titles related to Research Scientist Modeling jobs?

For Research Scientist Modeling jobs, the most frequently searched job titles are:

Infographic showing various Research Scientist Modeling job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist, Health Economic Modeling

Remote

Full-time

Re-posted 13 days ago


Job description

Research Scientist - Health Economic Modeling

Remote, Canada or United States

Join Our Dynamic HEOR Team as a Research Scientist!

Are you a self-starter with a passion for projects involving innovative methods in health economics and evidence synthesis? OurΒ Evidence Synthesis and Decision Modeling team is seeking aΒ Research Scientist (Decision Modeling)Β to join our group of industry-leading professionals. You will collaborate with a highly specialized team of health economists, statisticians and researchers in methodologically innovative projects for our pharma and biotech clients. You will contribute to diverse projects including cost-effectiveness analyses and budget impact analyses to support HTA submissions and payer decisions, early economic analyses, treatment sequencing analyses, and generalised cost-effectiveness analyses incorporating novel elements of value.

Why Join Us?

  • Innovative Culture: Experience the fast-paced and dynamic environment of a start-up within a well-funded, established global organization.
  • Passionate Team: Work with a team that has a real passion for Health Economics and Outcomes Research (HEOR) and prides itself on being visionary leaders in the field.
  • Growth Opportunities: Be part of a growing, high performing team where you'll have the opportunity to tackle complex methodological challenges.

About You:

  • Experienced Consultant: You have a background in HEOR, with a solid understanding of the pharmaceutical industry and medical affairs.
  • HEOR Research Experience: You have experience performing targeted literature reviews to identify and summarize model inputs and methodologies used in previous health technology assessments. You can identify considerations relevant to the model development given available evidence and can work with senior leads to conceptualize the design of cost-effectiveness models and budget impact models. You have experience programming, parameterizing, and validating economic models. You can conduct analyses, interpret the findings, and communicate the results.
  • Deliverable Creation: You contribute to the development of client-ready study deliverables such as model protocols, economic models, slide decks, technical reports, and peer-reviewed publications under the guidance of senior team members. You pay attention to detail and perform quality checks of your own work and that of others.
  • Technical Proficiency: You demonstrate proficiency in programming economic models in Microsoft Excel. You have strong skills in preparing written documentation and presenting results using Microsoft Word and PowerPoint.
  • Effective Communicator: You can interpret and communicate study results to both technical and non-technical stakeholders.
  • Project and Time Management: You assist with the delivery of components of projects by collaborating with other team members to ensure high quality outputs. You ensure timely delivery of project components by flagging changes to estimates of required hours.
  • Client Management: You contribute to client management by preparing slides for client meetings under guidance from senior team members, drafting meeting minutes and summarizing action items. You communicate with clients on calls and sometimes support senior team members in responding to client emails.

Β 

Required Experience and Competencies:

  • 2-4 years of professional experience, ideally consulting experience serving pharmaceutical, biotech, or healthcare clients, with a focus on HEOR
  • Master's degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, public health, or science (biology, biochemistry, etc.)
  • Proficiency in Microsoft Office, including Microsoft Excel and Visual Basic for Applications (VBA)
  • Willingness and desire to learn and share knowledge
  • Excellent oral and written communication skills
  • Strong organizational, multi-tasking, and time management skills
  • Highly developed analytical reasoning and problem-solving skills
  • Ability to work effectively individually and as part of a diverse team

Β 

Helpful Experience and Competencies:

  • PhD in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, public health, or science (biology, biochemistry, etc.)
  • Proficiency in R/R Shiny advantageous
  • Track record of relevant peer-reviewed publications