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EpistemixEP

Data Scientist

Epistemix is a simulation platform that uses synthetic populations to help organizations forecast outcomes and manage risks by modeling human behavior.

Epistemix

Employee count: 11-50

CA, GB + 1 more

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The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.

About Epistemix

Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world.

Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist.

Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place.

Responsibilities

Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact

  • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making

  • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases

  • Provide guidance for proposals on feasibility of scope and how to ensure impact

  • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform

  • Engage with customer users to provide informal support, tips, and troubleshooting

  • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans

  • Participate in reviews with customers to document and improve measurable impact

  • Provide feedback to Product and Sales teams to align offerings with customer needs

  • Follow advancements in data science, machine learning, and healthcare analytics

Qualifications

  • Commitment to understanding customer needs and helping them achieve goals

  • Creative mindset with a passion for tackling challenging problems with data

  • Ability to collaborate with diverse users and internal teams

  • Strong communication skills: verbal, code, visualizations, and maps

  • Strong foundation in machine learning, data modeling, and predictive analytics

  • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred

  • Comfort working in a dynamic environment with evolving priorities and customer needs

  • Proficiency in Python and associated data science technologies

  • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools

  • Expertise in SQL or NoSQL databases preferred

  • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)

  • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field

  • Experience with more than one company size or business stage preferred

  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Why Join Epistemix?

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

  • Equity & Incentives – Participation in our stock option program.

  • Flexible Time Off – Autonomy to manage your schedule and work-life balance.

  • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).

  • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

Canada +/- 0 hours, and 2 other timezones

About Epistemix

Learn more about Epistemix and their company culture.

View company profile

The story of Epistemix begins long before its official founding, rooted in decades of academic research at the University of Pittsburgh. In the early 2000s, Dr. Donald Burke and Dr. John Grefenstette, two leading figures in epidemiology and public health, began developing a powerful modeling system known as FRED (Framework for Reconstructing Epidemiological Dynamics). Their goal was to create a tool that could simulate the spread of infectious diseases with unprecedented accuracy, using synthetic populations that mirrored the real world down to the individual level. For years, this technology remained a specialized academic asset, used primarily to understand and predict public health crises.

In 2018, recognizing the potential of this technology to solve complex problems beyond just epidemiology, Burke and Grefenstette teamed up with John Cordier to spin the technology out into a commercial entity. Thus, Epistemix was born. The trio sought to democratize access to these advanced simulations, enabling organizations across various sectors—from government agencies to event organizers—to forecast outcomes and manage risks with confidence. By simulating how people behave and interact in a statistically accurate virtual world, Epistemix empowers leaders to test strategies and make data-driven decisions in an increasingly complex and interconnected society.

Employee benefits

Learn about the employee benefits and perks provided at Epistemix.

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Stock Options

Participation in the company stock option program.

401(k) Program

Retirement savings plan for eligible U.S. employees.

Flexible Time Off

Autonomy to manage your schedule and work-life balance.

Health & Welfare

Comprehensive health and welfare benefits for eligible employees.

View Epistemix's employee benefits
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