Data Scientist / Engineer - DNA-Encoded Library Technology

avec compétence (avecco) GmbH; Basel; Presencial; CHF 120.000 - 180.000; Jornada completa

Descripción de la vacante

Try&Hire in Basel is seeking a data science-driven bioinformatics professional to build scalable data engineering pipelines for analyzing DNA-encoded library screening data.

You will collaborate with experimental scientists, computational chemists and ML teams to develop workflows, interpret large-scale datasets, and deliver reproducible analytics across the drug-discovery program.

Formación

• PhD or MS 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 visualization frameworks such as Spotfire or Tableau.
• Experience with cheminformatics toolkits and laboratory data systems (LIMS, SQL, relational databases).

Responsabilidades

• 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.

Conocimientos

Python

Statistical programming

Data visualization

Educación

PhD or MS in Bioinformatics/Statistics/CS/Data Science/cheminformatics/Software Engineering

Herramientas

Spotfire

Tableau

RDKit

OpenEye

LIMS

SQL

Descripción del empleo

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

Your 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

What you bring

• 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)

Conditions

• Option of a permanent position after the assignment if both sides want it

Technologies

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