Hiring.Camp

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

Roche

·

Yesterday

Apply
Location
Basel Headquarter, Switzerland
Type
Full-time
Department
Engineering
Education
PhD
Source
Workday

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 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 Opportunity


We 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 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.

Skills

PythonSQLMachine LearningData ScienceData EngineeringTableau

Similar Jobs

30

Data Scientist

European Dynamics·Brussels, Brussels Capital·Remote

Data Scientist

Zocdoc·New York City, New York

Today

Data Scientist

Vattenfall·Amsterdam, North Holland·Hybrid

Today

Data Scientist

Anaplan·London, England +1·Hybrid

Today

Data Scientist

SurePay·Utrecht, The Netherlands·Hybrid

Today

Data Scientist

Booz Allen Hamilton·McLean, Virginia +1

1d ago

Data Scientist

Booz Allen Hamilton·Albuquerque, New Mexico

1d ago

Data Scientist

Rbs·Bengaluru, Karnataka +1

1d ago

Data Scientist

NYC Department of City Planning·Brooklyn, New York·Onsite

1d ago

Data Scientist

Phillips & Cohen Associates Ltd.·New York City, New York·Remote

2d ago

Data Scientist

Everwatch Everwatchsolutions·Baltimore, Maryland

2d ago

Data Scientist

Booz Allen Hamilton·Germany

2d ago

Data Scientist

Desjardins·Canada·Hybrid

2d ago

Data Scientist

Richmond University Medical Center·US

2d ago

Data Scientist

Leidos·US·Onsite

2d ago

Data Scientist

Cba·Sydney, New South Wales

2d ago

DATA SCIENTIST

Duncan Ross Management Consultancies·Abu Dhabi, United Arab Emirates·Onsite

3d ago

Data Scientist

Apogee Integration LLC·Chantilly, Virginia

3d ago

Data Scientist

Guidehouse is·Arlington, Virginia +3

3d ago

Data Scientist

Quanta·Englewood, Colorado

3d ago

Data Scientist

Planet provides integrated software·Galway, Connacht +1·Hybrid

3d ago

Data Scientist

Weekday AI·Auckland, New Zealand +4

Data Scientist

Intuitive Surgical·Sunnyvale, California·Remote

3d ago

Data Scientist

Ericsson

3d ago

Data Scientist

Robert Bosch·Mexicali, Baja California·Hybrid

3d ago

Data Scientist

Co-op External Career Section·Manchester, England·Hybrid

3d ago

Data Scientist

Fetcherr

Data Scientist

ALTEN·Fes, Fès-Meknès·Hybrid

3d ago

Data Scientist

Domino’s Pizza·Ann Arbor, Michigan·Onsite

4d ago

Data Scientist

Jerry.Ai·Boston, Massachusetts +2·Remote

4d ago