Job
- Level
- Experienced
- Location
- Monheim
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will develop innovative machine learning models for discovering and optimizing enzyme variants while collaborating closely with interdisciplinary teams at the intersection of bioinformatics and experimental research.
Job Technologies
Your role in the 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.
- Arbeiten Sie eng mit wissenschaftlichen Datenexperten zusammen, um komplexe Wissensgraphen zu nutzen, und kooperieren Sie mit Wet-Lab-Wissenschaftlern, um modellgenerierte Hypothesen zu bewerten und die Ergebnisse von Design of Experiments (DoE) zu interpretieren.
- 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.
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Our expectations of you
Qualifications
- 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.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Bayer AG
Bayer AG is a globally active company with core competencies in the life science fields of health and nutrition. We develop our products and services for the benefit of people and the planet, and are committed to addressing the global challenges of a constantly growing and aging world population.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Data Scientist / PostDoc - Machine Learning & Profile-Driven Enzyme Discovery
- Location
- Monheim
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
