Job
- Level
- Erfahren
- Ort
- Monheim
- Arbeitsmodell
- Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
Job Zusammenfassung
In diesem Job entwickelst du innovative maschinelle Lernmodelle zur Entdeckung und Optimierung von Enzymvarianten, während du eng mit interdisziplinären Teams an der Verbindung von Bioinformatik und experimenteller Forschung arbeitest.
Job Technologien
Deine Rolle im Team
- We are seeking a highly skilled and motivated Research Scientist to join our interdisciplinary R&D team in Monheim, Germany, focused on machine learning-driven discovery and profile-driven enzyme design.
- In this role, you will help advance industrial protein design by connecting probabilistic modeling, sequence-to-function predictions, design of experiments, and active learning to unlock novel protein variants for high-impact pipeline applications.
- The successful applicant will work in a cross-divisional environment across Pharma and Crop Science R&D, contributing to state-of-the-art research while translating complex computational approaches into practical scientific impact.
- Develop and deploy active learning loops and probabilistic optimization strategies to explore vast, unknown sequence spaces and drive the discovery of highly informative variants for lab testing.
- Build multi-objective optimization models capable of discovering entirely new enzymes that simultaneously meet complex performance profiles.
- Implement predictive machine learning models, leveraging state-of-the-art protein representation learning to capture deep sequence-structure-function relationships and uncover novel biological insights.
- Collaborate closely with scientific data experts to leverage complex knowledge graphs, and work with wet-lab scientists to evaluate model-generated hypotheses and interpret Design of Experiments (DoE) results.
- Drive methodological innovation and translate highly complex probabilistic models and algorithmic discoveries into clear business impacts, risk assessments, and R&D strategies for executive leadership.
Unsere Erwartungen an dich
Qualifikationen
- You hold a PhD in machine learning, computational biology, physics, mathematics, or a highly quantitative discipline.
- You bring deep theoretical and practical expertise in advanced machine learning, specifically probabilistic modeling, optimization algorithms, and active learning strategies geared towards scientific discovery.
- You have a solid grasp of protein chemistry and mutational effects, ensuring that ML-generated predictions are biologically plausible and translate into actionable discoveries for the wet lab.
- You actively challenge the status quo, relentlessly pursuing methodological innovation to solve complex, noisy biological problems and uncover new mechanisms in novel ways.
- You possess strong collaboration strategies, successfully orchestrating the 'Closed Loop' process by seamlessly bridging algorithmic hypothesis generation, wet-lab execution, and model refinement.
- You are proficient in modern programming languages and the standard ecosystems for deep learning and probabilistic modeling.
- You communicate clearly in English, both verbally and in writing, and can distill complex probabilistic concepts and scientific discoveries into strategic insights for cross-functional teams and leadership.
Unser Angebot
- This two-year limited position is firmly embedded within the Bayer Life Science Collaboration (LSC) framework-Bayer's premier cross-divisional innovation platform.
- Operating specifically within this framework over a defined 24-month timeline, you will leverage its unique ecosystem to drive breakthrough R&D innovation through scientific collaboration, knowledge exchange, and rapid experimentation across Pharmaceuticals, Crop Science, and Consumer Health.
- The LSC framework is designed to bring together diverse talents and disciplines.
- By working within this collaborative structure, you will have the platform and resources to address strategic R&D challenges, develop pipeline-enabling solutions, and accelerate the translation of novel, data-driven ideas into tangible impact for patients, farmers, and consumers.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Bayer AG
Die Bayer AG ist ein international agierendes Unternehmen, das sich auf die Bereiche Gesundheit und Ernährung spezialisiert hat. Unser Fokus liegt auf der Entwicklung von Produkten und Dienstleistungen, um den Menschen und dem Planeten Gutes zu tun. Gemeinsam arbeiten wir an Lösungen, um den globalen Herausforderungen einer wachsenden und alternden Weltbevölkerung gerecht zu werden.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
Data Scientist / PostDoc - Machine Learning & Profile-Driven Enzyme Discovery
- Ort
- Monheim
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
