UCB is looking for a Data Science Lead, Research Analytics to drive analytics solutions that inform compound and antibody discovery for early drug platforms, supporting the organization's Digital Business Transformation
Requirements
- PhD in biological, chemical, or data science with strong skills & experience in informatics, statistics, or computer science and demonstrated delivery in the life sciences space
- 8+ 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 Python
- Prior experience in pharmaceutical industry
- Experience with programmatic querying of relational or graph databases is desirable (SQL, neo4j, etc.)
Responsibilities
- Lead 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
- 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
Other
- Up to 15% domestic and international travel required
- Excellent written and oral communication skills demonstrated by publications and conference presentations
- PhD degree required
- 8+ years of experience required
- Ability to work onsite in Cambridge, Massachusetts office
