Senior Scientific Software Engineer (Fullstack)

F. Hoffmann-La Roche AG; Basel; Vor Ort; CHF 73.152 - 91.441; Vollzeit

Zusammenfassung

F. Hoffmann-La Roche AG is looking for a Senior Scientific Software Engineer (Fullstack) to create interactive tools for drug discovery in Basel, Switzerland. The ideal candidate will have a Ph.D. or relevant experience, focusing on building robust applications integrating chemistry workflows.

Responsibilities include collaborating with chemists and data scientists to design platforms that enhance data interpretation and visualization. Join us to contribute to advancing drug discovery through innovative software solutions.

Qualifikationen

• Ph.D. or BS/MS with relevant industry experience required.
• 2+ years experience for Ph.D. holders, 5+ for others.
• Expertise in web applications across full stack.

Aufgaben

• Partner with scientists to understand workflows.
• Design and build end-to-end scientific platforms.
• Lead development of user experiences for workflows.

Kenntnisse

Front-end development with TypeScript frameworks

Back-end systems in Python

Creating interactive visualizations with D3.js

Experience with AI-assisted coding practices

Understanding of chemical structures

Ausbildung

Ph.D. in an engineering, physical, or quantitative discipline

BS/MS with 5+ years of relevant industry experience

Tools

Python

R

TypeScript

Jobbeschreibung

We are seeking a Senior Scientific Software Engineer (Fullstack) to design and build interactive tools for small‑molecule drug discovery, focusing on chemical data, molecular design workflows, and model interpretability. You will shape the technical and product direction of platforms that enable medicinal and computational chemists to explore data, test hypotheses, and design better drugs.

Responsibilities

• Partner with medicinal chemists, cheminformaticians, and AI scientists to understand real‑world molecular design and analysis workflows.
• Design and build end‑to‑end platforms spanning front‑end interfaces, backend services, and data integrations that enable scientists to run analyses, explore data, and interpret model outputs.
• Lead development of intuitive, extensible user experiences for complex scientific workflows, focusing on interactive visualization, usability, and scientific fidelity.
• Architect and implement APIs, data models, and services that support scalable, data‑intensive applications, including integration with computational pipelines and machine learning systems.
• Evaluate and apply emerging technologies, including AI‑assisted development tools, to accelerate iteration and explore new approaches to scientific data visualization and interface design.
• Collaborate with distributed scientific, engineering, and design teams to take ideas from early exploration to production‑ready applications, sharing ownership of outcomes and impact.

Qualifications

• Ph.D. in an engineering, physical, or quantitative discipline with 2+ years of experience, or a BS/MS with 5+ years of relevant industry experience.
• Proven track record of designing and building modern web applications across the full stack, including front‑end development with TypeScript frameworks (React, Vue, or Svelte) and backend systems in Python (FastAPI, Flask) or similar.
• Expertise in creating interactive, data‑rich visualizations using web‑based libraries such as D3.js, Vega‑Lite, Plotly, WebGL, or WebGPU.
• Experience designing and implementing APIs, data services, and application architectures that support interactive, data‑intensive scientific workflows with performance, scalability, and maintainability focus.
• Proficiency in modern AI‑assisted coding practices, with sound judgment about correctness, reproducibility, guardrails, and maintainability.
• Curious, eager to grow new skills, and excited to explore emerging technologies while collaborating across multidisciplinary teams.
• Preference given to candidates comfortable reasoning about chemical structures and molecular design workflows, including core chemoinformatics concepts (fingerprints, descriptors, similarity metrics, molecular embeddings).
• Ability to work effectively with complex datasets in scientific contexts using Python‑ or R‑based tools.
• Fluency working with data pipelines, cloud infrastructure, and distributed systems for large‑scale chemical or biological datasets.

Roche is an Equal Opportunity Employer.