Atorus Tech Stack

Clinical trial data analytics platform automating insights from complex datasets

IT Services and IT Consulting Newtown Square, PA 201–500 employees Privately Held

Atorus builds analytics solutions for clinical trial data management, with a tech stack anchored in SAS, R (tidyverse), Python, and Posit — a mix that reveals an engineering org actively migrating legacy SAS workflows toward modern statistical computing. Active projects center on cloud infrastructure (AWS, Kubernetes, CI/CD), data validation, and regulatory compliance automation. The hiring velocity is accelerating across engineering and data roles, with notable focus on cloud deployment and data integration pipelines — consistent with moving trial analytics toward reproducible, cloud-native workflows.

Tech Stack 56 technologies

Core StackJira SAS Python Active Directory Kubernetes AWS Amazon EKS Confluence Medidata Rave tidyverse Coder Posit Domino Shiny Posit Connect CDISC GitOps AWS EKS NetApp ONTAP EFS CI/CD OIDC SAML LDAP AWS EFS AWS EBS VPC IAM Jira Service Management Microsoft Project+26 more

What Atorus Is Building

◆Challenges

Managing multiple concurrent workstreams
Backlog health across projects
External vendor data discrepancies
Vendor data transfer quality
Managing data discrepancies
Process improvements for external data acquisition
Migrating legacy sas workflows to r
Ensuring reproducible regulatory submissions
Migrating legacy sas environment to newer releases
Metric goals

▲Active Projects

Design ci/cd pipelines for atorus and client projects
Develop templates for system deployment
External data transfer agreement development
Design and implement policies, controls, and templates for cloud resources
Installation and configuration of sas analytics server on windows and posit modules on linux within aws
Validation review of electronically transmitted data
Query management for data discrepancies
Cloud infrastructure design for scalability and security
Deployment and cutover activities to production environments
Provisioning and configuration of aws cloud resources (ec2, ebs, vpc, iam, security groups)

Hiring Activity

Accelerating20 roles · 5 in 30d

Department

Engineering

Data

Healthcare

Research

Sales

Seniority

Mid

Senior

Lead

Manager

Principal

Company intelligence

Find more companies like Atorus by tech stack, pain points and active projects

Get started free

About Atorus

Atorus delivers analytics and data management solutions for clinical trial sponsors and contract research organizations (CROs). The company automates routine data processing, consolidates disparate data sources, and produces visualization and reporting tools that reduce time-to-insight for regulatory submissions. Operating at 201–500 employees and headquartered in Newtown Square, PA, Atorus combines domain expertise in clinical biometrics with modern data engineering. Current work spans cloud infrastructure design, SAS-to-R migration, data validation frameworks, and integration of external datasets — addressing gaps in traditional trial data management workflows.

HeadquartersNewtown Square, PA

Company Size201–500 employees

Hiring MarketsUkraine, India, Costa Rica, Germany, France, United Kingdom, United States

Frequently Asked Questions

What tech stack does Atorus use?

Core stack: SAS, R (tidyverse), Python, Posit, Medidata Rave, Kubernetes, AWS (EKS, EC2, EBS, VPC, IAM). DevOps: Jira, Confluence, GitOps, CI/CD, LDAP/SAML/OIDC. Storage: NetApp ONTAP, AWS EFS. Adopting modern statistical platforms while maintaining SAS for regulatory workflows.

What is Atorus working on currently?

Priority projects: CI/CD pipeline design, AWS cloud infrastructure and resource provisioning, SAS-to-R workflow migration, data validation and discrepancy resolution, regulatory submission automation, and external vendor data integration and quality assurance.

How this profile is built

Atorus's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.