Dein persönlicher KI-Karriere-Agent
Leading data FAIRification and compliance strategy for R&D in pharma. Master’s degree and 8+ years in pharma R&D data environment required. Personal expression, open dialogue, genuine connections.
Deine Match-Analyse
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Anforderungen
- Master’s degree in scientific or technical field
- 8+ years of experience in Pharma, Diagnostics or related R&D data environment
- Strong understanding of R&D processes
- Hands-on expertise in data stewardship
- Hands-on expertise in data standards
- Hands-on expertise in data architecture
- Hands-on expertise in FAIRification
- Hands-on expertise in data modeling
- Hands-on expertise in data quality
- Hands-on expertise in metadata
- Hands-on expertise in data management
- Proven experience leading complex projects
- Proven experience leading initiatives
- Proven experience leading teams
- Ability to influence without authority
- Deliver strong outcomes in matrix environment
- Experience as group/team leader is a plus
- Familiarity with regulatory requirements for data privacy
- Familiarity with regulatory requirements for data security
- Familiarity with regulatory requirements for data quality
- Familiarity with regulatory requirements for data compliance
- Familiarity with industry standards for data privacy
- Familiarity with industry standards for data security
- Familiarity with industry standards for data quality
- Familiarity with industry standards for data compliance
- Experience with semantic technologies (advantageous)
- Experience with RDF vocabularies (advantageous)
- Experience with biomedical ontologies (advantageous)
- Experience with data standards (advantageous)
- Experience with data modeling (advantageous)
- Experience with JSON (advantageous)
- Experience with SPARQL (advantageous)
- Experience with federated search (advantageous)
- Experience with relational databases (advantageous)
- Experience with knowledge graph technologies (advantageous)
- Experience with AWS Neptune (advantageous)
Aufgaben
- Provide visionary leadership for Data Connectivity
- Develop and implement data FAIRification and compliance strategy
- Ensure adoption of data governance and policies
- Guide a team of experts in managing data assets
- Make key decisions on talent, resourcing, and prioritization
- Make key decisions on technical roadmaps and solution development
- Develop and execute strategy for leveraging AI and advanced technologies
- Revolutionize data enrichment processes
- Hire, develop, and retain talent
- Foster opportunities for team skill enhancement
- Define team objectives, priorities, and OKRs
- Drive modernization and harmonization of workflows and processes
- Guarantee delivery of FAIR and compliant AI-ready data assets
- Oversee large-scale strategic initiatives
- Oversee data insight development projects
- Facilitate effective data lifecycle management
- Collaborate with DDC Domains and capabilities leads
- Collaborate with other key stakeholders to align on strategic priorities
- Foster strong internal and external partnerships
- Build a culture of 'data as an asset' in Research and Development
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Personal expression
- Open dialogue
- Genuine connections
- Healthcare access
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