职位&公司对比

职位详情

• 上海
• 3-5年
• 硕士

• AI
• 生物医药

Key Responsibilities · Partner with chemistry, biology, and R&D teams to develop AI/ML models for molecular design, compound screening, and predictive toxicology. · Identify opportunities to apply generative AI, deep learning, and simulation tools to shorten discovery and R&D timelines. · Design AI solutions to support Clinical, CMC and Commercial operations,, e.g. real-world data analysis, personalizbossed engagement. · Deploy AI-driven automation tools (e.g., NLP, robotic process automation, API) for workflows in manufacturing, supply chain, Finance and regulatory compliance. · Ensure seamless integration of AI solutions with existing enterprise systems (e.g., ERP, Veeva, CRM). · Ensure AI solutions adhere to regulatory staBOSS直聘ndards and ethical guidelines. Qualificationbosss · Education: Advan直聘ced degree (PhD/MS) in Computer Science, Data Science, Computational Chemistry, Biology, or related field. · Experience: 3+ years in AI/ML roles, preferably in pharma/life sciences. Proven track record in drug discovery (e.g., generative chemistry, bioinformatics). · Technical Skills: · Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure). · Familiarity with cheminformatics tools (e.g., RDKit, Schrödinger) and clinical/commercial data systems. · Domain Knowledge: Understanding of pharmaceutical R&D, clinical trial phases, and commercialization processes. Soft Skills: Stro直聘ng leadership, communication, and stakeholder management abilities.