Job Description
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.
Essential Responsibilities:
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
Experience Requirements:
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.)
Essential Requirements:
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)
Work Authorization Requirement:
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).
Here are few posts from our teammates, partners and customer voices to highlight the work we do:
- 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
$180,000 - $220,000 a year
In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.
The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.
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.
