Elsevier / Reaxys
Senior Data Discovery and Enrichment Expert(m/w/x)
Full-timeWith HomeofficeSenior
Frankfurt am Main
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ELElsevier GmbH Company
Senior Data Analyst I(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Enhancing chemistry intelligence via quality evaluation and enriching chemical datasets. Master's/PhD in Biochemistry or allied fields required. Sabbaticals, study assistance, and flexible hybrid work.
Requirements
- Master's/PhD in Biochemistry, Bioinformatics, Computational Biology/Chemistry or allied fields
- Beneficial end-user experience with chemistry or scientific databases (e.g., Reaxys)
- Hands-on experience with databases (e.g., PostgreSQL or other relational/analytical database systems)
- Experience utilizing cloud platforms (e.g., AWS, Azure) for data processing, analytics workflows, and scalable data solutions
- Strong data analysis and scripting skills using Python and/or Java
- Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks and analytical workflows
- Collaborative mindset with proactive knowledge sharing and cross-functional teamwork
Tasks
- Enhance chemistry intelligence through quality evaluation
- Improve data-driven customer impact
- Enrich chemical and regulatory datasets
- Improve search relevance, accuracy, and analytical capabilities
- Collaborate with Product Owners and Technology partners
- Deliver continuous improvements in an agile environment
- Generate data-driven customer impact insights
- Translate complex analyses into actionable recommendations
- Perform advanced analytical work using SQL and Python/Java
- Conduct trend analysis, anomaly detection, and segmentation
- Develop reusable analytics code with version control
- Maintain analytics modules, notebooks, and automation jobs
- Ensure scalability and repeatability of analytics code
- Contribute to improving data analysis frameworks
- Develop GenAI-driven evaluation approaches
- Mentor and review peer work on SQL logic
- Review peer analytical methodology
- Review peer validation approaches
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Reaxys
- PostgreSQL
- AWS
- Azure
- Python
- Java
- AI
- GenAI
Benefits
Mental Health Support
- Wellbeing initiatives
Generous Parental Leave
- Shared parental leave
Learning & Development
- Study assistance
Workation & Sabbatical
- Sabbaticals
Flexible Working
- Flexible hybrid work environment
Other Benefits
- Country-specific benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Elsevier GmbH Company and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ELElsevier GmbH Company
Senior Data Analyst I(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Enhancing chemistry intelligence via quality evaluation and enriching chemical datasets. Master's/PhD in Biochemistry or allied fields required. Sabbaticals, study assistance, and flexible hybrid work.
Requirements
- Master's/PhD in Biochemistry, Bioinformatics, Computational Biology/Chemistry or allied fields
- Beneficial end-user experience with chemistry or scientific databases (e.g., Reaxys)
- Hands-on experience with databases (e.g., PostgreSQL or other relational/analytical database systems)
- Experience utilizing cloud platforms (e.g., AWS, Azure) for data processing, analytics workflows, and scalable data solutions
- Strong data analysis and scripting skills using Python and/or Java
- Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks and analytical workflows
- Collaborative mindset with proactive knowledge sharing and cross-functional teamwork
Tasks
- Enhance chemistry intelligence through quality evaluation
- Improve data-driven customer impact
- Enrich chemical and regulatory datasets
- Improve search relevance, accuracy, and analytical capabilities
- Collaborate with Product Owners and Technology partners
- Deliver continuous improvements in an agile environment
- Generate data-driven customer impact insights
- Translate complex analyses into actionable recommendations
- Perform advanced analytical work using SQL and Python/Java
- Conduct trend analysis, anomaly detection, and segmentation
- Develop reusable analytics code with version control
- Maintain analytics modules, notebooks, and automation jobs
- Ensure scalability and repeatability of analytics code
- Contribute to improving data analysis frameworks
- Develop GenAI-driven evaluation approaches
- Mentor and review peer work on SQL logic
- Review peer analytical methodology
- Review peer validation approaches
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Reaxys
- PostgreSQL
- AWS
- Azure
- Python
- Java
- AI
- GenAI
Benefits
Mental Health Support
- Wellbeing initiatives
Generous Parental Leave
- Shared parental leave
Learning & Development
- Study assistance
Workation & Sabbatical
- Sabbaticals
Flexible Working
- Flexible hybrid work environment
Other Benefits
- Country-specific benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Elsevier GmbH Company and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Elsevier GmbH Company
Industry
Science
Description
The company is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
Not a perfect match?
- Elsevier / Reaxys
Senior Data Discovery and Enrichment Expert(m/w/x)
Full-timeWith HomeofficeSeniorFrankfurt am Main - Elsevier GmbH Company
Senior Software Engineer I (MedChem)(m/w/x)
Full-timeWith HomeofficeSeniorFrankfurt am Main - Elsevier / Reaxys
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Full-timeWith HomeofficeNot specifiedFrankfurt am Main - Experian
Senior Data Analyst Insurance(m/w/x)
Full-timeWith HomeofficeSeniorDüsseldorf, Frankfurt am Main - Veeva Systems
OpenData Quality Manager(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main