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Roche développe des médicaments et des solutions de diagnostic. En Suisse, ses activités comprennent la recherche et le développement ainsi que les métiers pharmaceutiques et diagnostiques, notamment à Bâle, Kaiseraugst et Rotkreuz.

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Détails de l’offre

La description complète publiée par Roche Suisse.

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Description de l’offre

Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Rejoignez Roche, où chaque voix compte.

La position At Roche, we believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives and we are fearless in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow.

In the Small Molecule Research department (SMR) in Pharma Research and Early Development (pRED), we generate molecular insights, and drive the discovery and development of small molecules from initial starting points to clinical candidates across the pRED discovery portfolio. In the Compound Library Enhancement and Logistics (CLEL) team, we supply research samples for all SMR portfolio projects and serve as the custodians of the Roche Corporate Compound Collection.

Using state-of-the-art automation platforms and digital workflows, our mission is to enable drug discovery projects with the supply of proprietary chemical space and the timely delivery of research samples that can be subjected to biological assays. As the CLEL team is spearheading novel digital processes and AI-augmented drug discovery workflows, we are seeking an analytical and forward-thinking scientist to join our team in the Roche Innovation Center Basel and contribute to the exploration and implementation of next-generation end-to-end sample logistics workflows.

The position

In this role, you will focus on building the next-generation workflow engines that track, plan, and securely connect decisions across our entire automated IT infrastructure. You will serve as a key business analyst, modernizing legacy systems, eliminating static steps, and replacing them with fully automated, FAIR-compliant, interoperable workflows and data foundations built for scalable automation and AI that keep the drug discovery path moving at maximum velocity. This role will deliver efficiency gains by lowering business process overhead and improve coordination.

It will also increase visibility and develop new planning capabilities leading to better decisions on investments and strategic resource planning, resulting in streamlined sample delivery and data processes. Specifically, you will:

  • Scope, design and engineer an interconnected next-generation business workflow engine capable of mapping, tracking, and capturing decisions and data across automated business processes.
  • Develop solutions to lower technical barriers for sample, data and information transfer, as well as decision-making at the interface of internal or external stakeholder-facing systems.
  • Support compliance workflows in sample and data management ( i.e. sample decisions, documentation), as well as overhaul automated compound QC workflows towards AI-assisted data analysis pipelines.
  • Partner with automation engineers and laboratory staff to generate business dashboards and track key performance indicators (KPIs) and interface effectiveness to key stakeholders.
  • Shape and drive our ongoing transition to AI-based software development: build and maintain tools together with AI coding assistants, and establish the practices (review, testing, documentation) that keep AI-generated solutions reliable and future-oriented.
  • Design and implement agentic workflows in which AI agents carry out multi-step tasks such as data analysis, issue diagnosis and routine operations, with clear human oversight and safeguards for operational systems and data.
  • Act as expert point of contact for operational workflows: shape the evolution of our system landscape, develop solutions with emerging AI technologies, and contribute to the architecture of future tools. Who you are: You’re someone who wants to influence your own development. You’re looking to be part of a dynamic and cutting-edge organization where you have the opportunity to pursue your interests across functions and tasks. You are interested in making an impact by providing solutions, reducing complexity and connecting essential elements of the drug discovery process and are passionate about applying state-of-the-art technology and science to the biopharmaceutical industry.
  • You have a university degree, preferably an M.S. or B.S. in computer science, cheminformatics, a life science or another scientific discipline with a strong computational focus, or show equivalent practical experience and expertise in laboratory automation and research informatics.
  • You have exceptionally structured thinking and problem-solving skills, with the ability to bridge physical logistics with software logic. You can also translate complex thoughts into practical, robust, applications and solutions.
  • You have a solid experience in Business Analysis (BA), process mapping, or operations engineering, specifically within a pharmaceutical or biotechnology research facility.
  • You must be familiar with laboratory information flows, sample management logistics, and automated compound QC workflows.
  • You are comfortable working with and taking ownership of software-based solutions, from Python, SQL and relational databases to version-controlled codebases, testing, deployment and operation in server-based environments.
  • You have hands-on experience with agentic AI tools (e.g. Claude Code, GitHub Copilot) used for real work beyond chat: handing over multi-step tasks, giving AI agents the right context, and critically verifying what they produce.
  • You have strong interpersonal skills to influence, advise and collaborate with experts, vendors and IT partners in a matrix environment to jointly move projects forward. -

Your profile

is rounded off by having good presentation and communication skills in English. The scientific title of this position might be adjusted depending on the experience and seniority of the final candidate. If you are proud of contributing and feel you have the dedication to teamwork and innovation that we are seeking, then Roche is the organization for you. Every role at Roche plays a part in making a difference to patients’ lives. If you want to work in a passionate team, make your mark and improve lives, apply now. Qui nous sommes Un avenir plus sain nous pousse à innover.

Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique. Nous nous encourageons mutuellement à explorer de nouvelles possibilités, à favoriser la créativité et à conserver nos grandes ambitions, afin de fournir des solutions de santé qui changent des vies et ont un impact mondial.

Construisons ensemble un avenir plus sain. Roche est un employeur offrant l'équité en matière d'emploi.

Prérequis

  • Expérience en analyse métier ou en ingénierie des opérations dans un environnement de recherche pharmaceutique ou biotec
  • Python
  • SQL
  • Outils d’IA agentique

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