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/