Data Science Lead, Research Analytics

il y a 2 semaines

Anderlecht, Belgique UCB Temps plein

Make your mark for patientsWe are looking for a Data Science Lead, Research Analytics who is creative, curious, and collaborative in our Global Data Science & Analytics team, based in our Brussel office in Belgium OR Slough.  About the roleAs a Data Science Lead in Research Analytics, you’ll drive analytics solutions that inform compound and antibody discovery for early drug platforms. You’ll apply data science and machine learning to diverse datasets—imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)—to identify initial hits and establish early structure-activity relationships. Your work supports the organization’s Digital Business Transformation and spans modalities including small molecules, peptides, biologics, and gene therapy. You’ll collaborate across departments and with external partners, capturing insights for meta-analysis and communicating results within interdisciplinary teams.Who you’ll work withInternally, you will collaborate with relevant stakeholders in function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT. Externally, you may work with academic institutions and partner with other biotech or technology companies.What you’ll doLead platform development of novel modalities such as peptides, impacting therapeutic projects with data-driven insights using analytics and machine learning on high-dimensional datasets conducted with complex biological assays (e.g. next-generation sequencing, cell-based assays, time-series assays, high-content assays, *-omics assays, etc.).Clear communication of outputs & results from analyses for all relevant stakeholders.Adapt and design data processes to support the capture and analysis of assay data and metadata and elevate platform data capability.Develop workflows that can be used by team members for routine data processing and analysis.Active collaboration with relevant stakeholders in function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT.Interested? For this role we’re looking for the following education, experience and skillsPhD in biological, chemical, or data science with strong skills & experience in informatics, statistics, or computer science and demonstrated delivery in the life sciences space8+ years of hands-on experience with data types, file formats, and common metadata used in biology, including high-dimensional experiments such as imaging, or high-throughput experiments such as peptide/biologics display.8+ of experience with machine learning on large / high dimensional datasets including data manipulation, wrangling, and analytics.8+ Experience with machine learning on chemical, sequence, and/or biological features.8+ years of experience with R and/or PythonPreferredPrior experience in pharmaceutical industryExperience with programmatic querying of relational or graph databases is desirable (SQL, neo4j, etc.)Excellent written and oral communication skills demonstrated by publications and conference presentationsAre you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you 

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