Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du automatisierte Datenabläufe für Hochdurchsatz-Screening im Forschungslabor, optimierst die Labortechnologie und arbeitest eng mit Labornutzern und Wissenschaftlern zusammen.
Job Technologien
Deine Rolle im Team
- As Data Scientist - Lab Automation VIE within our Research & Development Laboratory team, you will support the team in automating and digitalizing laboratory data processes for High-Throughput Screening within our Sequence Biology team in Frankfurt.
- You will implement automated data handling workflows and collaborate with the development team to design and optimize lab automation processes, helping to bridge scientific needs and technical solutions.
- Close collaboration with lab operators, lab scientists, and data scientists is a central part of this role.
- Support the team by setting up and maintaining sample tracking and sample management systems.
- Develop and maintain scripts for input/output file handling and data processing pipelines for automated lab systems.
- Collaborate with the development team to define and design automated data workflows and system requirements.
- Support hit selection by preparing and structuring analysis-ready datasets.
- Take ownership of data uploads to internal databases, ensuring accuracy and consistency.
- Contribute to the architecture and continuous improvement of lab automation processes as part of the development team.
- Work closely with lab operators, lab scientists, and data scientists to align on data requirements and ensure smooth workflows.
Unsere Erwartungen an dich
Ausbildung
- Master's degree in Bioinformatics, Data Science, Computational Biology, or related field.
Qualifikationen
- Familiarity with lab automation systems (Hamilton, Tecan).
- Proficiency in Python and SQL / relational databases.
- Analytical mindset and structured way of working.
- Strong communication skills and ability to work effectively across diverse teams and disciplines - including lab operators, scientists, and data scientists.
- Interest in collaborative system design and working within a development team environment.
- Team player with a proactive, hands-on attitude.
- Fluent English (written and verbal).
Erfahrung
- Experience with R and data visualization tools.
- Experience with Git, LIMS, or ELN platforms.
Unser Angebot
- Be part of a pioneering biopharma company where patient insights shape drug development.
- Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
- Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
- Help improve the lives of millions of people globally by making drug development quicker and more effective.
- Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs.
- Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.
- Achieve genuine work-life balance in a supportive R&D environment.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Sanofi-Aventis Deutschland GmbH
Sanofi ist ein weltweit agierendes Unternehmen der Gesundheitsbranche, das sich dafür einsetzt, den Zugang zu Gesundheitsversorgung zu verbessern und die Menschen zu unterstützen, die wir über den gesamten Versorgungsprozess hinweg betreuen. Von der Prävention bis zur Behandlung wandelt Sanofi wissenschaftliche Innovation in Healthcare-Lösungen um - in Bereichen wie Human Vaccines, Rare Diseases, Multiple Sclerosis, Onkologie, Immunologie, Infektionskrankheiten, Diabetes und kardiovaskuläre Lösungen sowie im Bereich Consumer Healthcare.
Description
- Unternehmensgröße
- 250+ Employees
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech, Wissenschaft, Forschung
Data Scientist Lab Automation
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
