The AI Job Search Engine
Senior Data Discovery and Enrichment Expert(m/w/x)
Description
By applying your cheminformatics and coding expertise, you will build automated workflows to enhance the quality and reliability of the company's large-scale chemistry datasets.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
approx. 4 - 6 years
Tasks
- •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
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Healthy work-life balance
- •Flexible hybrid work environment
Mental Health Support
- •Wellbeing initiatives
Generous Parental Leave
- •Shared parental leave
Learning & Development
- •Study assistance
Workation & Sabbatical
- •Sabbaticals
Modern Equipment
- •AI development tools
Purpose-Driven Work
- •Fair and accessible hiring
Other Benefits
- •Disability accommodations
- Elsevier GmbH CompanyFull-timeWith HomeofficeSeniorFrankfurt am Main
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Senior Data Discovery and Enrichment Expert(m/w/x)
The AI Job Search Engine
Description
By applying your cheminformatics and coding expertise, you will build automated workflows to enhance the quality and reliability of the company's large-scale chemistry datasets.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
approx. 4 - 6 years
Tasks
- •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
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Healthy work-life balance
- •Flexible hybrid work environment
Mental Health Support
- •Wellbeing initiatives
Generous Parental Leave
- •Shared parental leave
Learning & Development
- •Study assistance
Workation & Sabbatical
- •Sabbaticals
Modern Equipment
- •AI development tools
Purpose-Driven Work
- •Fair and accessible hiring
Other Benefits
- •Disability accommodations
About the Company
Elsevier / Reaxys
Industry
Science
Description
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.
- Elsevier GmbH Company
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