EL

Senior Data Discovery and Enrichment Expert (m/f/d) - MedChem

Teilweise Homeoffice
Nicht angegeben
vor 2 Wochen
Elsevier GmbH, Theodor Heuss Allee 108, 60486 Frankfurt Am Main
Stellenbeschreibung

Standort

  • Frankfurt am Main Elsevier GmbH Jetzt bewerben

Zusammenfassung

  • Arbeitszeit: Vollzeit
  • Typ: Festanstellung

Gewünschte Fähigkeiten & Kenntnisse

  • Integrity
  • KNIME
  • Software-Engineering
  • Cloud
  • CAN
  • across
  • Übersetzungssoftware
  • Python
  • Hybrid
  • Datenauswertung
  • Natural
  • Engineering
  • Flexibilität

Stellenbeschreibung

Reaxys is a comprehensive and powerful cloud hosted and deep-tech data searching tool that is used by thousands of chemists, researchers and students throughout the world to retrieve chemistry patents, chemical reactions, substance data and other related chemistry information using a highly performant chemical structure search engine. Supported by continuous updates and robust taxonomies, Reaxys can be searched using natural language, drawn chemical structures, formulas, physical property parameters, and more. Trusted for over 30 years by large pharma, innovative startups, large tech, private and public sector research hubs and universities alike, Reaxys is a partner to the pharma, medicinal chemistry and chemical industries.

About our Team

Our team transforms scientific information from documents into structured, high-quality data for researchers worldwide. We focus on extracting and enriching chemistry content using AI technologies and strong quality processes. Through close collaboration with Data Science, Product, and Technology partners, we deliver reliable data solutions that power better research and discovery.

Ihre Aufgaben

Do you have a passion for cheminformatics and large-scale chemistry datasets that drive better scientific decisions? Do you enjoy developing automated checks and analytics to monitor and improve the performance of AI-driven content pipelines? As a Senior Data Discovery and Enrichment Expert, you will use your cheminformatics and coding skills to evaluate and enhance the quality of large chemistry datasets. You will build automated processes to monitor content quality and collaborate with Data Science and Technology partners to drive improvements. Your work will directly strengthen the value and usability of our data.

  • Analysing large chemistry datasets to identify quality issues and opportunities to improve data extraction, enrichment, and structure.
  • Developing automated workflows and tests to monitor and validate the accuracy of chemistry-related content.
  • Collaborating with Data Science, Product, and Technology partners to enhance data quality and enrichment processes.
  • Applying coding and data analysis skills to design scalable solutions that improve reliability and consistency of scientific data.

Ihr Profil

  • Master's / PhD or equivalent degree in Bioinformatics, Cheminformatics, Computational Biology /Chemistry or allied fields
  • Experience working with large-scale chemistry datasets.
  • Good understanding of testing methodologies to ensure data quality and integrity
  • Experience applying cheminformatics methods to evaluate and improve data quality.
  • Understanding of major life science or chemistry information databases.
  • Ability to build automated workflows to monitor and validate content quality (e.g. Python, Knime or similar)
  • Ability to work collaboratively and communicate effectively with scientific and technical partners.

Work in a way that works for you

Wir bieten Ihnen

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Work on a high-impact platform used by scientists and innovators worldwide
  • Embrace the future of software engineering with AI development tools
  • Collaborate with a diverse, global team.
  • Flexible hybrid work environment

Mehr anzeigen Weniger anzeigen

Profil

Fachliche Voraussetzung

  • Bioinformatik, Biologie, Chemie, Computational Biology, Data Analysis, Data Mining, Data Science, Datenbanken, Datenermittlung, Datenqualität, KNIME, Künstliche Intelligenz, Prozessautomatisierung, Python, Testen, Usability Testing, Workflows

Persönliche Fähigkeiten

  • Kommunikation, Passioniert, Teamarbeit, Zuverlässigkeit

Schulabschluss

  • Master

Berufserfahrung

  • Mit Berufserfahrung

Mehr anzeigen Weniger anzeigen

Bewerbung

Jetzt bewerben

Branche:

IKT

Arbeitgeber:

Elsevier GmbH

Adresse:

Elsevier GmbH Theodor Heuss Allee 108 60486 Frankfurt am Main

Web:

http://elsevier.de