Data Scientist / Engineer - DNA-Encoded Library Technology

You develop data engineering pipelines and analytical tools to interpret large-scale DNA-encoded library screening data, supporting small-molecule drug discovery.

Ihre Aufgaben

• Apply statistical methods and predictive models to interpret large-scale DEL screening datasets
• Develop analytical tools and workflows for screening scientists to prioritise compounds
• Design and maintain automated, reproducible data processing and analysis pipelines
• Develop computational workflows and searchable building-block data resources
• Partner with experimental scientists, computational chemists and machine learning teams
• Present analytical results and technical developments to multidisciplinary audiences
• Promote reproducibility, data integrity and robust engineering practices

Was Sie mitbringen

• PhD or M.S. in Bioinformatics, Statistics, Computer Science, Data Science, Cheminformatics, Software Engineering or related field
• Strong software engineering background deploying pipelines at scale in HPC or cloud platforms
• Experience in high-throughput scientific data analysis, DEL selection outputs or NGS processing pipelines
• Strong proficiency in Python and statistical programming
• Expertise in data visualisation frameworks such as Spotfire or Tableau
• Experience with cheminformatics toolkits and laboratory data systems (LIMS, SQL, relational databases)

Rahmenbedingungen

• Option auf Festanstellung nach dem Einsatz, wenn beide Seiten wollen

Technologien

• Python
• Spotfire
• Tableau
• RDKit
• OpenEye
• LIMS
• SQL

So bewerben Sie sich

Sie bewerben sich mit Ihrem Try&Hire-Profil: Lebenslauf hochladen, Angaben prüfen, Eckdaten und Verfügbarkeit eintragen. Ein kurzes Vorstellungsvideo ist freiwillig, hilft aber. Unser Team meldet sich, wenn Ihr Profil zum Einsatz passt.