Scientist – Assay Data, AI & Workflows

Roche
Roche logo
Location
Basel, Basel-City
Job Type
Full-time
Posted
October 28, 2026

Job Description

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

In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility, and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.


Therapeutic Modality (TMo) organization, accountable for translating disease biology into high-quality drug candidates across small molecules, large molecules, oligonucleotides, and genomic medicines. By integrating deep modality expertise with cross-disciplinary collaboration, TMo drives innovation within and across platforms to enable differentiated, sustainable therapeutic impact.


The Opportunity

We are looking for a highly versatile Scientist  to serve as our primary operational and computational architect embedded in the wet-lab scientific community. In this role, you will bridge the gap between physical laboratory benches and advanced digital infrastructure. You will have the chance to shape how active learning loops could fundamentally rethink small molecule assay development for screening and profiling by building future ready agentic AI workflows from assay design to data delivery. Concurrently, you will champion platform adoption across the department, ensuring bench scientists are trained and supported on core tools. This profile requires a unique combination of biological literacy and data engineering acumen to successfully design closed-loop analytical systems, minimize operational bottlenecks, and transition raw screening readouts into predictive, FAIR-compliant data assets.


  • Lead the co-development, operational rollout, and continuous training for our end-to-end assay development and screening laboratory information management systems (LIMS), ensuring complete, traceable data trails and digital twins.
  • Design and integrate cutting-edge Agentic AI tools and Design of Experiments (DoE) frameworks.
  • Build and adjust pipelines that connect specialized raw instrument outputs directly with databases to achieve robust FAIR (Findable, Accessible, Interoperable, and Reusable) data standards.
  • Act as a change agent by coordinating user onboarding, training bench scientists, and championing platform adoption across the broader scientific community.
  • Make a direct impact by accelerating assay design and execution times, lowering processing error rates, and resolving operational bottlenecks for specialized teams.

Who You Are

  • You hold a Ph.D. or M.S. in Computational Biology, Scientific Informatics, Bioinformatics, Biology/Biochemistry with a strong computational focus, or a related quantitative scientific discipline.
  • You bring solid experience in cellular, biochemical, or biophysical systems and are familiar with FAIR data management standards.
  • You have proven experience working with laboratory informatics environments (such as LIMS or electronic lab notebooks) alongside wet-lab operations incl. Design of Experiments.
  • You demonstrate strong programming proficiency, including building or maintaining databases, automating data extraction, and working with ML/LLM API integration.
  • You are a collaborative communicator with a customer-centric mindset, ready to train cross-functional users and manage stakeholder relationships effectively.

At Roche, we aim high to deliver life-changing healthcare solutions. If you’re ready to make a meaningful impact on patients and healthcare systems worldwide, this is the place for you.


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

In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility, and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.


Therapeutic Modality (TMo) organization, accountable for translating disease biology into high-quality drug candidates across small molecules, large molecules, oligonucleotides, and genomic medicines. By integrating deep modality expertise with cross-disciplinary collaboration, TMo drives innovation within and across platforms to enable differentiated, sustainable therapeutic impact.


The Opportunity

We are looking for a highly versatile Scientist  to serve as our primary operational and computational architect embedded in the wet-lab scientific community. In this role, you will bridge the gap between physical laboratory benches and advanced digital infrastructure. You will have the chance to shape how active learning loops could fundamentally rethink small molecule assay development for screening and profiling by building future ready agentic AI workflows from assay design to data delivery. Concurrently, you will champion platform adoption across the department, ensuring bench scientists are trained and supported on core tools. This profile requires a unique combination of biological literacy and data engineering acumen to successfully design closed-loop analytical systems, minimize operational bottlenecks, and transition raw screening readouts into predictive, FAIR-compliant data assets.


  • Lead the co-development, operational rollout, and continuous training for our end-to-end assay development and screening laboratory information management systems (LIMS), ensuring complete, traceable data trails and digital twins.
  • Design and integrate cutting-edge Agentic AI tools and Design of Experiments (DoE) frameworks.
  • Build and adjust pipelines that connect specialized raw instrument outputs directly with databases to achieve robust FAIR (Findable, Accessible, Interoperable, and Reusable) data standards.
  • Act as a change agent by coordinating user onboarding, training bench scientists, and championing platform adoption across the broader scientific community.
  • Make a direct impact by accelerating assay design and execution times, lowering processing error rates, and resolving operational bottlenecks for specialized teams.

Who You Are

  • You hold a Ph.D. or M.S. in Computational Biology, Scientific Informatics, Bioinformatics, Biology/Biochemistry with a strong computational focus, or a related quantitative scientific discipline.
  • You bring solid experience in cellular, biochemical, or biophysical systems and are familiar with FAIR data management standards.
  • You have proven experience working with laboratory informatics environments (such as LIMS or electronic lab notebooks) alongside wet-lab operations incl. Design of Experiments.
  • You demonstrate strong programming proficiency, including building or maintaining databases, automating data extraction, and working with ML/LLM API integration.
  • You are a collaborative communicator with a customer-centric mindset, ready to train cross-functional users and manage stakeholder relationships effectively.

At Roche, we aim high to deliver life-changing healthcare solutions. If you’re ready to make a meaningful impact on patients and healthcare systems worldwide, this is the place for you.


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.

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Frequently Asked Questions

Where is this job located, and is remote work available?
The position is located in Basel, Basel-City. The job posting does not mention a remote or hybrid work policy.
What are the key responsibilities for this position?
You will serve as an operational and computational architect bridging wet-lab operations and digital infrastructure. Duties include co-developing and rolling out LIMS, integrating Agentic AI and Design of Experiments frameworks, building pipelines for raw instrument outputs to meet FAIR standards, and training bench scientists to champion platform adoption.
What qualifications and experience are required?
Candidates need a Ph.D. or M.S. in Computational Biology, Scientific Informatics, Bioinformatics, or a related discipline. Required experience includes work with cellular/biochemical/biophysical systems, FAIR standards, laboratory informatics (LIMS/ELN), Design of Experiments, and strong programming skills (database maintenance, data extraction automation, ML/LLM API integration).

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  • 24 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
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Job Information

Source: manual
AI Relevance: 85/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
roche bioinformatics computational biology data engineering LLM

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