Senior Scientific Software Engineer (Fullstack)

At Roche you can show up as yourself embraced for the unique qualities you bring. Our culture encourages personal expression open dialogue and genuine connections where you are valued accepted and respected for who you are allowing you to thrive both personally and professionally. This is how we aim to prevent stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche where every voice matters.

The Position

A healthier future. Its what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. Thats what makes us Roche.

Advances in AI data and computational sciences are transforming drug discovery and development. Roches Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Analytics and Workflows group within the Center of Excellence (CoE) is dedicated to turning complex data into actionable insights that advance drug discovery and development. We leverage cutting-edge high-throughput technologies and foundational multimodal machine learning models to analyze large-scale chemical and biological data enabling deeper understanding of molecular behavior and the identification of novel therapeutic opportunities. Despite advances in these fields however transforming raw data and computational models into meaningful insights remains a key this role youll work at the intersection of data science medicinal chemistry and engineering to build innovative analytical tools that bridge the gap between data generation and interpretation helping unlock new avenues for scientific discovery and impact.

The Opportunity

We are seeking a Senior Scientific Software Engineer (Fullstack) to design and build interactive tools for small-molecule drug discovery with a particular focus 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. This role is fullstack with a strong emphasis on scientific data visualization workflow design and integration with computational pipelines. Success will be measured not only by technical delivery but by the impact on how scientists design and evaluate small-molecule candidates. Your work will include:

• Partnering directly with medicinal chemists cheminformaticians and AI scientists to understand real-world molecular design and analysis workflows including ambiguous or evolving needs.

• Designing and building end-to-end platformsspanning front-end interfaces backend services and data integrationsthat enable scientists to run analyses explore data and interpret model outputs.

• Leading the development of intuitive extensible user experiences for complex scientific workflows with a focus on interactive visualization usability and scientific fidelity.

• Architecting and implementing APIs data models and services that support scalable data-intensive applications including integration with computational pipelines and machine learning systems.

• Evaluating and applying emerging technologies (including AI-assisted development tools) to accelerate iteration while exploring new approaches to scientific data visualization and user interface design that improve how scientists interact with complex datasets.

• Collaborating across distributed scientific engineering and design teams to take ideas from early exploration through production-ready applications with shared ownership of outcomes and impact.

Who you are

• A 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 (e.g. React Vue or Svelte) and backend systems in Python (e.g. FastAPI Flask) or similar frameworks.

• Expertise in creating interactive data-rich visualizations using web-based libraries and technologies such as Vega-Lite Plotly WebGL or WebGPU with an emphasis on enabling exploration of complex scientific datasets.

• Experience designing and implementing APIs data services and application architectures that support interactive data-intensive scientific workflows with attention to performance scalability and maintainability.

• Proficiency in leveraging modern AI-assisted and agentic coding practices with sound judgment about correctness reproducibility guardrails and maintainability in scientific software.

• Curious eager to grow new skills and excited to explore emerging technologies while collaborating across diverse multidisciplinary teams.

• Preference will be given to candidates who are comfortable reasoning about chemical structures and molecular design workflows including core chemoinformatics concepts (e.g. fingerprints descriptors similarity metrics molecular embeddings) and able to engage productively with medicinal computational and machine learning scientists.

• Ability to work effectively with complex datasets in scientific contexts using Python- or R-based tools including exploring data developing analyses and translating results into intuitive user-facing tools and visualizations.

• Fluency working with data pipelines cloud infrastructure and distributed systems (e.g. handling large-scale chemical or biological datasets integrating with ML model outputs or orchestrating workflows).

Who we are

A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver life-changing healthcare solutions that make a global impact.

Lets build a healthier future together.

Roche is an Equal Opportunity Employer.