About this role
Role Overview
Epistemix is hiring a full-time, remote Data Scientist based in the United States to support data integration and modeling for a diverse portfolio of customers. This role is ideal for quantitative professionals with two to three years of experience who want to drive impactful software adoption and client success in public health, life sciences, and enterprise strategy.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Epistemix builds simulation and data-driven modeling tools that allow leaders to visualize how strategies unfold across systems and populations before allocating resources. Approaching its Series B funding round, the company enables organizations across healthcare, government, insurance, and consumer industries to transition from uncertainty to conviction through realistic population data and scenario planning.
How to Apply
Interested candidates should visit the official Epistemix careers page to submit their application for this remote position.
Skills and tech stack
Questions candidates ask
Is this position remote?
Yes, this is a fully remote role open to applicants located within the United States.
What level of experience is required?
The role requires two to three years of prior experience as a Data Scientist, Analyst, or in a similar role, though work completed during a Ph.D. program can count toward this requirement.
What educational background is needed?
Candidates must hold a Master's or Ph.D. in a quantitative field such as Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, or Mathematics.
Does Epistemix offer visa sponsorship?
No, applicants must be legally authorized to work in the United States without requiring employer sponsorship now or in the future.
What technical skills are necessary?
Applicants need proficiency in Python and data science technologies, experience with data visualization tools like Tableau, Power BI, or GIS, and a strong foundation in machine learning and predictive analytics.
