Skip to content

Roche

Principal / Senior Principal Software Engineer

Roche is hiring a Principal / Senior Principal Software Engineer in Basel, Switzerland. Level rates it ; you can apply on Roche.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • The posting mentions Python, Kubernetes and AWS among its tools and skills.
  • Level classes it as a lead role.
  • Roche has 1,200+ other open roles on Level.

AI in this role

Build modern computational and data ecosystems that enable ML/AI tool creation and adoption for drug discovery at Roche.

PythonKubernetesAWSSparkMLOps
software-engineeringdata-pipelinesdistributed-systemscloud-computingcomputational-biology

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. It’s 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. That’s what makes us Roche.


Advances in AI, data and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations 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 Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.


Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making.


The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. The Data Ecosystem is foundational to building solutions that accelerate the work done by our Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing.


Join our Data and Digital Catalyst team as a Software Engineer, where you will develop the modernized and interconnected computational and data ecosystems that are foundational to our research. You'll build robust and scalable systems that unlock the potential of our diverse scientific data, directly accelerating the discovery and development of life-changing treatments for patients. This is a unique opportunity to empower our scientists and advance data-driven science through innovative technology.


The Opportunity

  • Design and build interactive tools for both small and large molecule drug discovery integrating data, molecular design workflows, computational algorithms, and AI models.

  • Build and enhance a modern, scalable ecosystem of applications and tools to capture, move, and prepare scientific data for analysis.

  • Design and deliver complex, user-friendly data applications and pipelines that integrate diverse data sets across key scientific domains.

  • Leverage standard patterns like microservices and event-driven architecture to improve our data workflows and application ecosystem.

  • Champion technical excellence by ensuring our solutions are innovative, best-in-class, and seamlessly integrated.

  • Integrate diverse data sets to power Artificial Intelligence (AI), machine learning (ML), and Natural Language Search capabilities.

  • Collaborate directly with computational and research scientists to understand their challenges and translate them into effective technology solutions.

  • Provide technical leadership on ongoing initiatives and identify new opportunities to build common, reusable solutions.

  • Mentor junior developers, fostering their professional growth and upholding high engineering standards.

Who You Are


We are looking for a passionate and collaborative software engineer with experience building scalable platforms for drug discovery or a related domain. You thrive on engaging with scientific partners to solve complex challenges and are dedicated to engineering best practices.

  • A Ph. D. or equivalent experience of 8-10+ years working in life science domain building full-stack software solutions, preferably for drug discovery and strong software engineering expertise in all layers of stack including backend (e.g., Python, Java) and frontend (e.g., React, Vue) is required.

  • Deep experience with modern data engineering, including databases (SQL/NoSQL), data engineering (ETL/ELT), and APIs (REST, GraphQL)

  • Proven experience developing and deploying applications on cloud-native architectures, preferably AWS and experience in setting up SDLC best practices for the team including versioning, testing, observability, CI/CD, etc.

  • Exceptional abilities to architect scalable solutions in complex environment with multiple existing system integrations and demonstrated proficiency in applying AI-assisted and agentic coding practices, both as an individual contributor and collaboratively within a team environment.

  • Outstanding communication and collaboration skills, with the ability to articulate technical concepts to diverse audiences.

  • Preferably experience working in pharmaceutical or a related domain and in setting best-practices for agentic coding producing maintainable code.


The Global Grade for this role can be: SE7 or SE8 to align with Principal / Sr. Principal Engineer


#ComputationCoE
#tech4lifeComputationalSciences

Who we are

A healthier future drives us to innovate. Together, more than 100’000 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.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

How we rate this

Principal / Senior Principal Software Engineer at Roche rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringData PipelinesDistributed SystemsCloud ComputingComputational BiologyPythonKubernetesAWS

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where data pipelines was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Tell me about a project where computational biology was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Data Pipelines, Distributed Systems, Cloud Computing, and Computational Biology. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get new software engineer jobs (Builds AI ●●●●) by email

One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free.

Similar roles

Software Engineering roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Roche

More software engineer jobs

Related searches

Same AI level

Jobs by city