Data Science Platform & Analytics Lead (m/f/d)

Grunenthal Pharma GmbH & Co. Kommanditgesellschaft

Germany
On-site
Manage end-to-end data lifecycle
Define data standards and governance
Build and improve research databases
Manage end-to-end data lifecycle within Research from ingestion to integration, including, defining data standards and developing data upload templates and establish frameworks for optimal governance, data quality, metadata, and lineage

Job Summary

  • Manage end-to-end data lifecycle within Research from ingestion to integration, including, defining data standards and developing data upload templates and establish frameworks for optimal governance, data quality, metadata, and lineage.
  • Define and execute the research strategy and roadmap for data, analytics and AI platforms, ensuring scalability, and compliance across diverse functions, including, biology, pharmacology screening and translational assays, chemistry, DMPK, toxicology and genetic medicine.
  • Generate insights and models from multi-modal datasets (preclinical – in vivo, in vitro & clinical) to elucidate patterns, trends and relationships within data to inform R&D portfolio decision-making.

Matching Summary

Manage end-to-end data lifecycle within Research from ingestion to integration, including, defining data standards and developing data upload templates and establish frameworks for optimal governance, data quality, metadata, and lineage.

Skills & Requirements

Must-have

  • Manage end-to-end data lifecycle
  • Define data standards and governance
  • Build and improve research databases
  • Define research strategy for data platforms
  • Focus on FAIR data principles
  • Provide hands-on support to scientific teams
  • Develop and implement ML/AI methods
  • Collaborate with R&D and IT stakeholders

Nice-to-have

  • Expertise in RNA biology
  • Experience with next-generation sequencing

Key Requirements

  • PhD in quantitative field or life sciences with computational experience
  • Minimum 5 years pharma, techbio or biotech experience
  • Demonstrated leadership in data science strategies
  • Proven ability to guide teams and partners
  • Extensive knowledge of biomedical data management

Work Rights

Not specified

Tailored Resume

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