Job Description
Opportunity for an experienced professional to design, build, and deploy machine learning systems that accelerates biotech research and development — from drug discovery and molecular modeling to clinical data analysis and lab automation.
Role
- Design and implement ML/AI models for applications such as molecule property prediction, protein structure analysis, genomic data interpretation, or clinical trial optimization
- Build and maintain data pipelines for processing large-scale biological and chemical datasets
- Collaborate with wet-lab scientists, computational biologists, and clinicians to translate research questions into AI/ML solutions
- Deploy models into production systems (APIs, internal tools, or lab platforms)
- Evaluate and integrate relevant foundation models (e.g., protein language models, cheminformatics tools)
- Ensure reproducibility, validation, and documentation of models to meet scientific and regulatory standards
- Monitor model performance and iterate based on experimental or clinical feedback
- Stay current with advances in AI applied to life sciences (e.g., AlphaFold-style models, generative chemistry)
Requirements
- Bachelor's/Master's/PhD in Computer Science, Bioinformatics, Computational Biology, or related field
- At least 2 years of experience building and deploying ML models in production
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with biological/chemical data formats (FASTA, SMILES, PDB, etc.) is a strong plus
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools
- Understanding of statistics, experimental design, and scientific rigor
- Strong communication skills for cross-functional collaboration with scientists
Interested candidates, please submit your profile to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted.
EA Licence: 17S8795 | EAP: R1108333