Epistemix

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. <h2>About Epistemix</h2>The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.<h2>Responsibilities</h2>Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact<ul><li>Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making</li><li>Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases</li><li>Provide guidance for proposals on feasibility of scope and how to ensure impact</li><li>Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform</li><li>Engage with customer users to provide informal support, tips, and troubleshooting</li><li>Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans</li><li>Participate in reviews with customers to document and improve measurable impact</li><li>Provide feedback to Product and Sales teams to align offerings with customer needs</li><li>Follow advancements in data science, machine learning, and healthcare analytics</li></ul><h2></h2><h2>Qualifications</h2><ul><li>Commitment to understanding customer needs and helping them achieve goals</li><li>Creative mindset with a passion for tackling challenging problems with data</li><li>Ability to collaborate with diverse users and internal teams</li><li>Strong communication skills: verbal, code, visualizations, and maps</li><li>Strong foundation in machine learning, data modeling, and predictive analytics</li><li>Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred</li><li>Comfort working in a dynamic environment with evolving priorities and customer needs</li><li>Proficiency in Python and associated data science technologies</li><li>Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools</li><li>Expertise in SQL or NoSQL databases preferred</li><li>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)</li><li>Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field</li><li>Experience with more than one company size or business stage preferred</li><li>Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.</li></ul><h2>Why Join Epistemix?</h2>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:<ul><li>Equity &amp; Incentives – Participation in our stock option program.</li><li>Flexible Time Off – Autonomy to manage your schedule and work-life balance.</li><li>Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).</li><li>Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.</li></ul>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.

Data Scientist

The AI Engineer plays a critical role in making modeling and simulation accessible to non-data scientists. You will be designing, developing, and deploying AI-driven applications to make our software more accessible which will have a direct impact on the number of organizations we are able to serve. This position plays a critical role in our product roadmap and will directly contribute to the company's success and growth. Ideal candidates exhibit a high willingness to experiment and empathy for users.<h2>About Epistemix</h2>The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.<h2>Responsibilities</h2><ul><li>Craft clean, testable, and maintainable code to enable AI-generated agent-based models.</li><li>Own the software from requirements development through deployment and maintenance that enable decision makers to generate agent-based models that address critical business questions and data scientists to build agent-based models more quickly that answer the questions of decision makers.</li><li>Design, build, test, and deploy a scalable system architecture so that AI-generated models can be validated by data scientists and deliver results back to decision makers quickly.</li><li>Own the engineering solution and collaborate with internal teams to ensure alignment with company strategy.</li></ul><h2>Qualifications</h2><ul><li>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience).</li><li>3+ years of experience developing AI/ML applications in production environments.</li><li>Proven track record of working with LLMs, NLP models, or AI-driven systems.</li><li>Experience designing and optimizing high-performance, scalable APIs.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.</li></ul><h2>Required Skills</h2><ul><li>Python – Advanced proficiency in writing clean, efficient, and scalable code.</li><li>Pydantic – Strong experience in data validation, serialization, and structured model definition.</li><li>LLM Evaluation – Ability to assess model performance, optimize outputs, and fine-tune AI behavior.</li><li>Prompt Optimization – Expertise in crafting, refining, and iterating prompts for optimal AI performance.</li><li>SQLAlchemy – Hands-on experience with database modeling, ORM techniques, and performance tuning.</li><li>FastAPI – Proven ability to develop and maintain APIs with FastAPI for AI-driven applications.</li></ul><h2>Nice to Have Experience</h2><ul><li>Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for efficient AI retrieval.</li><li>Familiarity with Docker &amp; Kubernetes for containerized AI application deployment.</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) for scaling AI infrastructure.</li><li>Understanding of retrieval-augmented generation (RAG) techniques.</li><li>Background in MLOps practices for automating AI model deployment and monitoring.</li></ul><h2>Why Join Epistemix?</h2>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:<ul><li>Equity &amp; Incentives – Participation in our stock option program.</li><li>Flexible Time Off – Autonomy to manage your schedule and work-life balance.</li><li>Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).</li><li>Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.</li></ul>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.

AI Engineer

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve the Epistemix synthetic population. A synthetic population is a statistically representative model of a population of real people and their environment, including personal attributes, social connections, and associations between people and places. These datasets empower customers to solve problems in domains where empirical data is unavailable due to legitimate concerns for personal privacy or where desired data simply does not exist. The Synthetic Population Engineer contributes to profitable growth by making the synthetic population more useful and accessible to customers, increasing adoption and utilization. Having a synthetic population that is continuously updated and improved over time is critical to building trust in the models and solutions built with our platform.<h2>About Epistemix</h2>The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.<h2>Responsibilities</h2><ul><li>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.</li><li>Utilize simulation techniques, including ABMs, to project future demographic trends.</li><li>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).</li><li>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.</li><li>Create visualizations for marketing and productizing synthetic populations.</li><li>Develop innovative methods for supporting external users in augmenting Epistemix synthetic populations with their own proprietary data.</li><li>Work with external vendors and marketplaces to expand the ecosystem of data providers that can be integrated with the synthetic population.</li><li>Support the synthetic populations team in engaging with customer success, professional services, and engineering teams to understand project specific synthetic population requirements.</li></ul><h2>Qualifications</h2><ul><li>Proficient experience in:<ul><li>Using Python for data science applications.</li><li>Working with relational databases such as PostgreSQL (additional database management experience preferred).</li><li>Working with geospatial data.</li><li>Working with simulation or machine learning models.</li></ul></li><li>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.</li><li>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.</li><li>A PhD or master’s degree in Data Science or a relevant technical discipline such as Computer Science, Mathematics, Statistics, Epidemiology, or Public Health.</li><li>Proven track record of success building data products and/or data marketplaces.</li><li>Having a startup mentality with understanding the risks and the ability to flex across needs of an evolving team in a fast-paced environment.</li></ul><h2>Why Join Epistemix?</h2>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:<ul><li>Equity &amp; Incentives – Participation in our stock option program.</li><li>Flexible Time Off – Autonomy to manage your schedule and work-life balance.</li><li>Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).</li><li>Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.</li></ul>This is a remote position open to applicants globally with a strong interest in US and Europe based candidates . 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.

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Data Scientist

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