Data Scientist / PostDoc - Machine Learning & Profile - Driven Enzyme Discovery
Core
Develop and deploy active learning loops and probabilistic optimization strategies to discover new enzymes with complex performance profiles for Pharmaceuticals, Crop Science, and Consumer Health.
Role type
Senior IC machine-learning engineer (protein/enzyme discovery)
Builds
Multi-objective optimization models and predictive ML models for novel enzyme discovery (via careerplan.io/jobs/562949978335405-data-scientist-postdoc-machine-learning-profile-driven-enzyme-discovery-at-bayer)
Domain
Biotechnology / Computational Biology / Protein Engineering
Deliverable
production ML models
Required skills
probabilistic modeling, optimization algorithms, active learning strategies, protein chemistry, mutational effects analysis, deep learning, knowledge graph navigation, Design of Experiments (DoE) interpretation
Preferred skills
methodological innovation, bridging algorithmic hypothesis generation with wet-lab execution
Technologies
modern programming languages, deep learning ecosystems, probabilistic modeling frameworks
Responsibilities
Implement predictive ML models leveraging protein representation learning; collaborate with scientific data experts to leverage complex knowledge graphs; work with wet-lab scientists to evaluate model-generated hypotheses and interpret DoE results; drive methodological innovation to solve complex biological problems; translate probabilistic models into R&D strategies for executive leadership.
Seniority
Senior, hands-on IC
