AI Engineer
Core
Design, build, and deploy machine learning systems to accelerate biotech research and development, including drug discovery, molecular modeling, and clinical data analysis.
Role type
Senior IC machine-learning engineer (biotech)
Builds
Production ML models and data pipelines for biological and chemical datasets
Domain
Biotechnology / Life Sciences
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, MLOps, cloud platforms (AWS/GCP/Azure), statistical analysis, experimental design
Preferred skills
Biological/chemical data formats (FASTA, SMILES, PDB), foundation models (protein language models, cheminformatics tools), lab automation integration
Technologies
PyTorch, TensorFlow, scikit-learn, AWS, GCP, Azure
Responsibilities
Design and implement ML/AI models for molecule property prediction, protein structure analysis, and genomic data interpretation; Build and maintain data pipelines for large-scale biological datasets; Collaborate with wet-lab scientists and clinicians to translate research questions into AI solutions; Deploy models into production systems; Evaluate and integrate foundation models; Ensure reproducibility and validation of models; Monitor model performance and iterate based on feedback
Seniority
Mid-level, hands-on IC
