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Senior Data Discovery and Enrichment Expert(m/w/x)
Analyzing large chemistry datasets, improving data extraction and structure at a global information and analytics provider for researchers. Experience with large-scale chemistry datasets and cheminformatics methods required. Shared parental leave and sabbaticals offered.
Anforderungen
- Degree in Bioinformatics, Cheminformatics, or allied fields
- Experience with large‑scale chemistry datasets
- Understanding of testing methodologies
- Experience applying cheminformatics methods
- Understanding of life science information databases
- Ability to build automated workflows
- Collaborative and effective communication skills
Aufgaben
- Analyze large chemistry datasets
- Identify data quality issues
- Improve data extraction and structure
- Develop automated workflows and tests
- Monitor and validate content accuracy
- Collaborate with cross-functional partners
- Enhance data enrichment processes
- Design scalable data solutions
- Improve scientific data reliability
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Knime
Benefits
Flexibles Arbeiten
- Healthy work-life balance
- Flexible hybrid work environment
Mentale Gesundheitsförderung
- Wellbeing initiatives
Großzügige Elternzeit
- Shared parental leave
Weiterbildungsangebote
- Study assistance
Workation & Sabbatical
- Sabbaticals
Moderne Technikausstattung
- AI development tools
Sinnstiftende Arbeit
- Fair and accessible hiring
Sonstige Vorteile
- Disability accommodations
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- Elsevier GmbH CompanyVollzeitmit HomeofficeSeniorFrankfurt am Main
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Senior Data Discovery and Enrichment Expert(m/w/x)
Analyzing large chemistry datasets, improving data extraction and structure at a global information and analytics provider for researchers. Experience with large-scale chemistry datasets and cheminformatics methods required. Shared parental leave and sabbaticals offered.
Anforderungen
- Degree in Bioinformatics, Cheminformatics, or allied fields
- Experience with large‑scale chemistry datasets
- Understanding of testing methodologies
- Experience applying cheminformatics methods
- Understanding of life science information databases
- Ability to build automated workflows
- Collaborative and effective communication skills
Aufgaben
- Analyze large chemistry datasets
- Identify data quality issues
- Improve data extraction and structure
- Develop automated workflows and tests
- Monitor and validate content accuracy
- Collaborate with cross-functional partners
- Enhance data enrichment processes
- Design scalable data solutions
- Improve scientific data reliability
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Knime
Benefits
Flexibles Arbeiten
- Healthy work-life balance
- Flexible hybrid work environment
Mentale Gesundheitsförderung
- Wellbeing initiatives
Großzügige Elternzeit
- Shared parental leave
Weiterbildungsangebote
- Study assistance
Workation & Sabbatical
- Sabbaticals
Moderne Technikausstattung
- AI development tools
Sinnstiftende Arbeit
- Fair and accessible hiring
Sonstige Vorteile
- Disability accommodations
Über das Unternehmen
Elsevier / Reaxys
Branche
Science
Beschreibung
Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. It combines quality information and vast data sets with analytics to support science, research, health education, and healthcare.
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- Elsevier GmbH Company
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