某500强企业
Associate Principal Scientist, AI for Chemical Toxicology
医疗医药
生物/制药/化工
北京
1-3年
博士
面议
职位描述
Accountabilities
Develop, optimise and deploy predictive safety models using chemoinformatics, bioinformatics and ML/DL.
Create reproducible workflows, data QC procedures and model validation frameworks.
Integrate multimodal data: chemical descriptors, omics, imaging and NAM datasets.
Serve as scientific lead for project teams and influence program strategy.
Drive innovation and identify strategic modelling opportunities across R&D.
Lead collaborations with academia, consortia and technology partners.
Mentor junior scientists and contribute to capability building.
Communicate complex modelling concepts to diverse scientific and governance audiences.
职位要求
Essential Skills/Experience
PhD in Chemoinformatics, Bioinformatics, Computational Toxicology or related field.
Strong AI/ML experience (PyTorch, TensorFlow, scikit-learn).
Advanced Python or R programming skills.
Familiarity with GitHub, CI/CD pipeline, and best DevOps and MLOps practices
Experience with multimodal biological + chemical datasets.
Proven leadership in delivering impactful modelling work.
Excellent communication and stakeholder engagement skills.
Acts as discipline leader and shapes scientific strategy.
Solves complex problems using scientific judgement.
Builds strong cross-functional relationships and networks.
Coaches and mentors others, enhancing team capability.
Desirable Skills/Experience
Experience with Safety Omics, Cell Painting or imaging data.
Background in toxicology, pharmacology or ADME.
Experience with cloud computing or workflow automation.
Track record of publications in top AI conferences or journals in pharmaceutical research (e.g., NeurIPS, ICML, Nature Machine Intelligence, Nature Communications, NEJM AI, etc.)
Experience supervising scientists or managing collaborations.
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