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Senior Scientific Software Engineer (Fullstack)(m/w/x)
Building end-to-end platforms for molecular design and analysis with medicinal chemists. Ph.D. or 5+ years of full-stack web application development required. Partnering with AI scientists, creating data-rich visualizations.
Requirements
- Ph.D. in engineering, physical, or quantitative discipline with 2+ years experience, or BS/MS with 5+ years relevant industry experience
- Designing and building modern full-stack web applications
- Creating interactive, data-rich visualizations using web libraries
- Designing and implementing APIs, data services, and application architectures
- Proficiency in modern AI-assisted and agentic coding practices
- Curiosity and eagerness to grow new skills
- Excitement to explore emerging technologies
- Collaboration across diverse, multidisciplinary teams
- Reasoning about chemical structures and molecular design workflows
- Understanding of core chemoinformatics concepts
- Ability to engage productively with scientists
- Working with complex scientific datasets using Python or R tools
- Developing analyses and translating results into user-facing tools
- Working with data pipelines, cloud infrastructure, and distributed systems
Tasks
- Partner with medicinal chemists, cheminformaticians, and AI scientists
- Understand real-world molecular design and analysis workflows
- Design and build end-to-end platforms for scientific workflows
- Create front-end interfaces, backend services, and data integrations
- Enable scientists to run analyses, explore data, and interpret models
- Lead development of intuitive, extensible user experiences
- Focus on interactive visualization, usability, and scientific fidelity
- Architect and implement APIs, data models, and services
- Support scalable, data-intensive applications
- Integrate with computational pipelines and machine learning systems
- Evaluate and apply emerging technologies
- Accelerate iteration with AI-assisted development tools
- Explore new approaches to scientific data visualization
- Improve user interface design for complex datasets
- Collaborate across distributed scientific, engineering, and design teams
- Take ideas from early exploration to production-ready applications
- Share ownership of outcomes and impact
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- TypeScript
- React
- Vue
- Svelte
- Python
- FastAPI
- Flask
- D3.js
- Vega-Lite
- Plotly
- WebGL
- WebGPU
- AI
- R
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Senior Scientific Software Engineer (Fullstack)(m/w/x)
Building end-to-end platforms for molecular design and analysis with medicinal chemists. Ph.D. or 5+ years of full-stack web application development required. Partnering with AI scientists, creating data-rich visualizations.
Requirements
- Ph.D. in engineering, physical, or quantitative discipline with 2+ years experience, or BS/MS with 5+ years relevant industry experience
- Designing and building modern full-stack web applications
- Creating interactive, data-rich visualizations using web libraries
- Designing and implementing APIs, data services, and application architectures
- Proficiency in modern AI-assisted and agentic coding practices
- Curiosity and eagerness to grow new skills
- Excitement to explore emerging technologies
- Collaboration across diverse, multidisciplinary teams
- Reasoning about chemical structures and molecular design workflows
- Understanding of core chemoinformatics concepts
- Ability to engage productively with scientists
- Working with complex scientific datasets using Python or R tools
- Developing analyses and translating results into user-facing tools
- Working with data pipelines, cloud infrastructure, and distributed systems
Tasks
- Partner with medicinal chemists, cheminformaticians, and AI scientists
- Understand real-world molecular design and analysis workflows
- Design and build end-to-end platforms for scientific workflows
- Create front-end interfaces, backend services, and data integrations
- Enable scientists to run analyses, explore data, and interpret models
- Lead development of intuitive, extensible user experiences
- Focus on interactive visualization, usability, and scientific fidelity
- Architect and implement APIs, data models, and services
- Support scalable, data-intensive applications
- Integrate with computational pipelines and machine learning systems
- Evaluate and apply emerging technologies
- Accelerate iteration with AI-assisted development tools
- Explore new approaches to scientific data visualization
- Improve user interface design for complex datasets
- Collaborate across distributed scientific, engineering, and design teams
- Take ideas from early exploration to production-ready applications
- Share ownership of outcomes and impact
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- TypeScript
- React
- Vue
- Svelte
- Python
- FastAPI
- Flask
- D3.js
- Vega-Lite
- Plotly
- WebGL
- WebGPU
- AI
- R
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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