Platform Engineer, Statistical Computing (R)

About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.

As a Statistical Computing Platform Engineer at Artera, you will work on the intersection of biostatistics, R-based analytical workflows, and platform engineering to build scalable and reproducible systems for statistical computing.

You’ll work closely with biostatisticians, data analysts, machine learning engineers, and platform teams to ensure that statistical workflows are robust, performant, and production-ready - just as critical as our AI models themselves.

• Develop the long-term vision and roadmap for Artera’s statistical computing platform, enabling scalable and reproducible R-based workflows

• Build and maintain R-based analytical environments for clinical and outcomes research

• Design and operate R package infrastructure, including internal packages, dependency management, and package repositories

• Build and evolve core libraries and tooling used by biostatisticians for analysis, reporting, and model validation

• Partner with biostatisticians to productionize statistical methods and pipelines

• Enable reproducible workflows through containerization, environment management, and versioning (e.g., renv, Docker)

• Integrate statistical workflows into Artera’s broader data and AI platform ecosystem

• Optimize compute, storage, and data access for large-scale clinical and real-world datasets

• Ensure systems meet standards for auditability, reproducibility, and compliance

• 5+ years of industry experience in software engineering, data engineering, or scientific computing

• 3+ years of hands-on experience with R programming in production or research environments

• Experience developing and maintaining R packages and shared libraries

• Experience building or supporting data platforms, scientific computing environments, or analytical infrastructure

• Experience with cloud platforms (AWS, GCP, or Azure)

• Experience with containerization and reproducible environments (Docker, Kubernetes, etc.)

• Strong proficiency in R ecosystem tools (e.g., tidyverse, renv, devtools, pak, shiny app)

• Deep understanding of package management, dependency resolution, and reproducibility

• Ability to design and build scalable systems for analytical workloads

• Strong collaboration skills and ability to work closely with biostatistics and data science teams

• Solid software engineering fundamentals (version control, testing, CI/CD)

• This is a remote role open to candidates who are currently authorized to work either in the United States or in Canada without the need for current or future employment-based visa sponsorship. Artera does not sponsor visas for this position.

• Eligible candidates may include:
• Individuals authorized to work in the United States on a permanent basis (e.g., U.S. citizens, U.S. permanent residents), or
• Individuals authorized to work in Canada (e.g., Canadian citizens or Canadian permanent residents).
• Visa Transfers (if needed).

• Artera Shapes the Future of Cancer Treatment Using Machine Learning on AWS
• How Artera AI test allowed Bruno to avoid hormone therapy
• Startups are using AI to predict responses to Cancer Drugs
• ArteraAI validates its Prognostic Model in Advanced Prostate Cancer 
• How Artera Enhances Prostate Cancer Diagnostics Using AWS

Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.