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Open nowPosted 2 days ago

Data Scientist / Engineer - DNA-Encoded Library Technology (DELT)

Roche320 open roles

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Basel, BS, Switzerland
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Your applicationOpen nowData Scientist / Engineer - DNA-Encoded Library Technology (DELT)Roche · Basel, BS, Switzerland

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The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market. Roche postings stay open a median of 11 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 2 days ago

Roche median: 11 days open

The posting

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 PositionIn Roche-s Pharmaceutical Research and Early Development organisation (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) organisation, 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 DELT team lies in Molecular Discovery Technologies within the Small Molecule Research Discovery (SMRD) department, which is part of Therapeutic Modalities (TMo) within Roche Pharma Research and Early Development (pRED). We deliver leading-edge science to drive the success of Roche-s early pipeline discovery research activities through strong expertise in high-throughput or focused screening platforms, DNA-encoded library technology (DELT), protein science & enzymology/biophysics, cell-based assays, biostructure determination, computer-assisted drug design, and medicinal chemistry. We are accountable for the provision of high-quality chemistry starting points for small-molecule projects and generating molecular and mechanistic insights that are critical for the advancement of discovery projects.The OpportunityWe are looking for a Scientific Data Scientist & Engineer - DNA-Encoded Library Technology (DELT) to join our team at the intersection of chemical biology, cheminformatics, and data science.In this role, you will help shape the next generation of data-driven DNA-Encoded Library Technology (DELT) by combining scientific data analysis, scalable data engineering, and advanced computational approaches. You will transform complex screening data into actionable scientific insights and develop robust, automated workflows that accelerate hit identification and support small-molecule drug discovery.Working closely with experimental scientists, computational chemists, and machine learning experts, you will bridge scientific innovation and practical implementation, enabling more informed, reproducible, and efficient decision-making across our DELT platform.Your impact:You advance our DELT data analytics by applying robust statistical methods, predictive models, and advanced analytical approaches to interpret large-scale DEL screening datasets, identify promising chemical starting points, and support hit and lead discovery programs.You develop intuitive, accessible analytical tools and workflows that empower DELT screening scientists and project teams to rapidly evaluate selection results, prioritise compounds, and make informed experimental decisions.You design, implement, and maintain automated, reproducible data processing and analysis pipelines that transform complex experimental outputs into reliable, decision-ready insights.You develop computational workflows and searchable building-block data resources to support chemical space exploration, reaction prediction, library design, and synthesis strategy optimisation.You partner closely with experimental scientists, computational chemists, and machine learning teams across Roche's small-molecule research organisation to translate evolving scientific challenges into scalable computational solutions.You communicate scientific insights by presenting analytical results, computational approaches, and technical developments clearly to scientific and multidisciplinary audiences, supporting knowledge sharing and adoption of new capabilities.You champion scientific excellence by promoting reproducibility, data integrity, and robust engineering practices while contributing to a safe and compliant research environment.Who you are You are highly passionate about DNA-encoded library technology, pushing the boundaries of the field, as well as discovering and taking on new challenges. We are looking for a highly motivated data scientist with a strong enthusiasm for chemical biology and pushing the technology to the next step, who is interested in performing state-of-the-art research in the pharmaceutical industry. You hold a PhD or M.S. in Bioinformatics, Statistics, Computer Science, Data Science, Cheminformatics, Software Engineering, or a related quantitative field.You have a strong software engineering background with experience deploying pipelines at scale in HPC or cloud platforms.You possess proven experience in high-throughput scientific data analysis (preferably with large-scale screening data, DEL selection outputs, or NGS processing pipelines) and a demonstrated ability to architect reliable, user-friendly tools that simplify complex analytical workflows for non-expert scientists.You demonstrate strong proficiency in Python and statistical programming, along with expertise in data visualisation frameworks (e.g., Spotfire, Tableau, or modern web dashboarding tools).You bring an understanding of hit-triaging, noise reduction, statistical ranking, and signal verification in large-scale datasets, with demonstrated capability in cheminformatics (including handling chemical structures, building-block metadata, or toolkits like RDKit/OpenEye) and laboratory data systems (LIMS, SQL, relational databases), integrating computational tools with experimental workflows as a plus.You are a critical thinker and problem solver with a continuous improvement mindset and a track record of conceptualising scalable scientific solutions, paired with strong communication skills to translate complex quantitative findings for multidisciplinary and non-quantitative stakeholders.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 areA 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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