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. Tasks - 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 Profile - 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) Company Pharmaceutical research Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/data-scientist-engineer-dna-encoded-library-technology-tah-p6uzk/