Full Stack Developer
Atorus
full-time
remote from anywhere in Ukraine
Responsibilities
End-to-end design choices: Help guide end-to-end design choices holistically.
Front-end: design and implement intuitive, user-friendly interfaces tailored for clinical trial stakeholders (e.g., statistical programmers, biostatisticians).
Back-end: work closely with statistical engineers to embed their R-based tooling into our products
Database Management: design and implement efficient and scalable approaches for managing app artifacts to enable user management and persistent activity and progress management.
Deployment: build and deploy large, complex analytical web applications i.e. with page routing, authentication, and complex client and server state management.
Testing: develop end-to-end testing that is embedding within an automated CI/CD pipeline.
Apply AI responsibly: embed AI to support product design and development focusing on reliable, explainable, and impactful use in development workflows and solutions.
Collaborate: strong appetite to collaborate with end users with diverse skill sets to learn about their requirements and use cases and feed this back into product development
Continuous Improvement: work with developers to identify opportunities for continuous improvement in the design and development of our products.
Problem-solving Skills: demonstrated ability to contribute to the analysis of complex problems, identify potential solutions, and implement effective outcomes.
Preferred But NOT Required Qualifications
BSc / MSc in a quantitative/computational science (e.g., computer science, machine learning, statistics, physics, mathematics).
3+ years of experience in developing and deploying applications with significant quality and business impact.
High proficiency in HTML, Javascript, CSS and React.
Experience using modern styling frameworks and component libraries (e.g. TallWind CSS).
High Proficiency in back-end languages such as Python and R
Strong RESTful API development skills (e.g. Flask, Django, ExpressJS, Hono, Plumber).
Testing mindset with experience developing end-to-end tests (e.g Cypress JS, Jest, Mocha, Vitest) and automating these used git-based CI/CD.
Experience in designing efficient databases (e.g. PostgreSQL) and their ongoing maintenance.
Exposure to using containers (e.g. docker) and orchestration tools such as Kubernetes and OpenShift.
Hands on experience applying AI and agentic approaches to improve developer productivity of data-driven applications
Good understanding of good software development practices (e.g., agile development, code review) and tools (containers, git, CI/CD).
Solution-oriented mindset with a collaborative spirit.
Good written English communication skills.
Desirable Qualifications
Experience using R for analytical / data-science use cases.
Exposure to R Shiny for data visualization.
Understanding of regulatory requirements (e.g., GxP) and computer system validation principles.
remote from anywhere in Ukraine
Responsibilities
End-to-end design choices: Help guide end-to-end design choices holistically.
Front-end: design and implement intuitive, user-friendly interfaces tailored for clinical trial stakeholders (e.g., statistical programmers, biostatisticians).
Back-end: work closely with statistical engineers to embed their R-based tooling into our products
Database Management: design and implement efficient and scalable approaches for managing app artifacts to enable user management and persistent activity and progress management.
Deployment: build and deploy large, complex analytical web applications i.e. with page routing, authentication, and complex client and server state management.
Testing: develop end-to-end testing that is embedding within an automated CI/CD pipeline.
Apply AI responsibly: embed AI to support product design and development focusing on reliable, explainable, and impactful use in development workflows and solutions.
Collaborate: strong appetite to collaborate with end users with diverse skill sets to learn about their requirements and use cases and feed this back into product development
Continuous Improvement: work with developers to identify opportunities for continuous improvement in the design and development of our products.
Problem-solving Skills: demonstrated ability to contribute to the analysis of complex problems, identify potential solutions, and implement effective outcomes.
Preferred But NOT Required Qualifications
BSc / MSc in a quantitative/computational science (e.g., computer science, machine learning, statistics, physics, mathematics).
3+ years of experience in developing and deploying applications with significant quality and business impact.
High proficiency in HTML, Javascript, CSS and React.
Experience using modern styling frameworks and component libraries (e.g. TallWind CSS).
High Proficiency in back-end languages such as Python and R
Strong RESTful API development skills (e.g. Flask, Django, ExpressJS, Hono, Plumber).
Testing mindset with experience developing end-to-end tests (e.g Cypress JS, Jest, Mocha, Vitest) and automating these used git-based CI/CD.
Experience in designing efficient databases (e.g. PostgreSQL) and their ongoing maintenance.
Exposure to using containers (e.g. docker) and orchestration tools such as Kubernetes and OpenShift.
Hands on experience applying AI and agentic approaches to improve developer productivity of data-driven applications
Good understanding of good software development practices (e.g., agile development, code review) and tools (containers, git, CI/CD).
Solution-oriented mindset with a collaborative spirit.
Good written English communication skills.
Desirable Qualifications
Experience using R for analytical / data-science use cases.
Exposure to R Shiny for data visualization.
Understanding of regulatory requirements (e.g., GxP) and computer system validation principles.
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