Synthetic Population Engineer

Epistemix

full-time

Posted on: 2/26/2026

Location Type: Remote

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About the role

Identify and evaluate empirical datasets and use them to enrich the synthetic population to enable new use cases, including through adding new individual attributes and detailed social networks.
Utilize simulation techniques, including ABMs, to project future demographic trends.
Improve the geographical plausibility of synthetic environments, ensuring realistic placement of homes, workplaces, schools, and other points of interest (e.g., along roads, close to real world population centers).
Expand the geographical region covered by the Epistemix synthetic population, with the goal of creating a fully integrated and consistent representation of the global population.
Create visualizations for marketing and productizing synthetic populations.
Develop innovative methods for supporting external users in augmenting Epistemix synthetic populations with their own proprietary data.
Work with external vendors and marketplaces to expand the ecosystem of data providers that can be integrated with the synthetic population.
Support the synthetic populations team in engaging with customer success, professional services, and engineering teams to understand project specific synthetic population requirements.

Proficient experience in:
Using Python for data science applications.
Working with relational databases such as PostgreSQL (additional database management experience preferred).
Working with geospatial data.
Working with simulation or machine learning models.
Demonstrate empathy for users and decision makers by explaining how the synthetic population was created (e.g., which data sources and models were used) in an accessible way for all.
Possessing the passion to build the standard for synthetic populations globally to improve decision making across social, health, economic, and environmental policies and advancing data science into more commercial applications.
A PhD or master’s degree in Data Science or a relevant technical discipline such as Computer Science, Mathematics, Statistics, Epidemiology, or Public Health.
Proven track record of success building data products and/or data marketplaces.
Having a startup mentality with understanding the risks and the ability to flex across needs of an evolving team in a fast-paced environment.

Benefits

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata sciencerelational databasesPostgreSQLgeospatial datasimulation modelsmachine learning modelsdata productsdata marketplaces

Soft Skills

empathycommunicationadaptabilityteam collaborationuser engagement

Certifications

PhDmaster's degree