2

Remote Mathematical Epidemiology Jobs (NOW HIRING)

Infrastructure Architect

Pittsburgh, PA · Remote

$67.50 - $86.50/hr

... Mathematics, Statistics, Epidemiology, or Public Health * Demonstrated experience managing or ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Required : • Must possess a comprehensive knowledge of data and analytics as normally obtained through a master's degree in Health Science, Epidemiology, Computer Science, Statistics, Mathematics ...

New

Remote Work Type : 6+ Months Contract with extension Rate : $Market /Hour Primary Responsibilities ... in epidemiology, public health, mathematics, health services research preferred (but not required ...

... Mathematics, Statistics, Epidemiology, or Public Health. * Proven track record of success building ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

next page

Showing results 1-20

Remote Mathematical Epidemiology information

See salary details

$45K

$85.2K

$133K

How much do remote mathematical epidemiology jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote mathematical epidemiology in the United States is $85,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote mathematical epidemiologists, and how can they be addressed?

Remote mathematical epidemiologists often encounter challenges such as coordinating effectively with interdisciplinary teams across different time zones and managing large datasets securely from a home office. Clear communication, structured project management tools, and regular virtual meetings can help bridge gaps and maintain collaboration with public health officials, data scientists, and researchers. Additionally, setting up robust data security protocols and maintaining an organized workflow are essential for handling sensitive epidemiological data remotely. Proactively seeking feedback and sharing progress updates can foster a sense of connection and ensure alignment with broader project goals.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Epidemiologist, and why are they important?

To thrive as a Remote Mathematical Epidemiologist, you need a strong background in mathematics, statistics, epidemiology, and often an advanced degree in a related field. Familiarity with statistical software (such as R, Python, or MATLAB), data visualization tools, and epidemiological modeling platforms is typically required. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings to non-specialists are vital soft skills. These competencies ensure accurate disease modeling, effective remote collaboration, and impactful public health recommendations.

What is the difference between Remote Mathematical Epidemiology vs Remote Data Analyst?

AspectRemote Mathematical EpidemiologyRemote Data Analyst
Required CredentialsAdvanced degrees in epidemiology, mathematics, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch-focused, often in public health or academic settingsBusiness, healthcare, or tech industries
Industry UsagePublic health agencies, research institutions, academiaCorporations, consulting firms, healthcare providers
Search & Comparison IntentUnderstanding specialized epidemiological modeling rolesAnalyzing data trends and insights in various sectors

Remote Mathematical Epidemiology involves developing models to understand disease spread, requiring advanced degrees and research experience. Remote Data Analysts focus on interpreting data to inform business or health decisions, often with a broader skill set. While both roles analyze data remotely, they serve different industries and require different credentials.

What is remote mathematical epidemiology?

Remote mathematical epidemiology is a field where professionals use mathematical models and statistical tools to study the spread of diseases, while working from a remote location. These experts analyze data, simulate outbreaks, and predict how diseases might progress in populations, often collaborating virtually with public health teams. Their work helps inform decisions about interventions such as vaccinations, social distancing, and resource allocation. Remote roles in this field have become more common due to advancements in technology and the increased availability of large datasets online.
More about Remote Mathematical Epidemiology jobs
What cities are hiring for Remote Mathematical Epidemiology jobs? Cities with the most Remote Mathematical Epidemiology job openings:
What are the most commonly searched types of Mathematical Epidemiology jobs? The most popular types of Mathematical Epidemiology jobs are:
What states have the most Remote Mathematical Epidemiology jobs? States with the most job openings for Remote Mathematical Epidemiology jobs include:
What job categories do people searching Remote Mathematical Epidemiology jobs look for? The top searched job categories for Remote Mathematical Epidemiology jobs are:
Infographic showing various Remote Mathematical Epidemiology job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.
Infrastructure Architect

Infrastructure Architect

Epistemix

Pittsburgh, PA • Remote

$67.50 - $86.50/hr

Full-time

Medical, Retirement

Posted 23 days ago


Job description

Our Infrastructure Architect serves as the critical technical expert responsible for all post-sales deployment and integration of the Epistemix platform into client infrastructure. This is a highly technical, hands-on role.

You will be the vital link between our product's architecture and our clients' varied technical landscapes. This role requires the ability to be both a hands-on architect and navigating complex client IT, security, and application environments (AWS, GCP, private cloud, or on-prem) to successfully deploy our product and ensure immediate value realization.

About Epistemix

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.

Responsibilities
  • Design and execute the technical strategy for integrating the Epistemix platform into client environments.

  • Leverage Terraform, Kubernetes and Docker across client environments, ensuring security and repeatability with a primary focus on AWS and data connections like Snowflake and Databricks.

  • Interface with client IT organization to understand infrastructure environment and provide architectural guidance during implementation.

  • Ensure all client-side integration and deployment methods are designed to meet rigorous standards, including SOC 2 and ISO 27001, HIPAA.

  • Work with client IT organizations to set deployments in complex settings, including public cloud (AWS/GCP), private cloud, and traditional on-premises/dedicated application environments.

  • Develop and use custom automation tooling (Python is a must) to streamline deployment processes, integrating with client-side identity and access management (e.g., OAuth2/OIDC).

Qualifications
  • 8+ years of industry experience, 3+ years of architectural implementation experience

  • Hands on and expert level experience in:

    • Python, Fast API and/or Django

    • Terraform. Additional knowledge of Kubernetes, and Docker highly preferred.

    • AWS infrastructure. General architectural mastery of another major cloud provider (GCP) is highly valued.

  • Bachelors Degree in Computer Science or a relevant technical discipline such as Mathematics, Statistics, Epidemiology, or Public Health

  • Demonstrated experience managing or contributing to organizational compliance programs, specifically the development and implementation of policies and procedures related to HIPAA (HITECH Act) privacy/security rules and achieving SOC 2 attestation

  • Experience with data warehouse integrations with Snowflake, Databricks or other data warehouse platforms.

  • Experience managing and supporting deployments in environments beyond public cloud (e.g., on-premise, private cloud, or dedicated client application environments).

Nice to Have Experience
  • Familiarity with the architectural demands of distributed computing libraries (Ray, Modin, Pandas) is highly valued.

  • Familiarity with JavaScript/TypeScript, Node.js, and React.

  • Familiarity with leveraging generative AI tools in engineering workflows (e.g., Claude Code, Devin, Coderabbit).

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.