1. Educational Background:Master’s degree or above in Synthetic Chemistry, Organic Chemistry, Computational Chemistry, Drug Design, AIDD (AI in Drug Discovery), or other chemistry-related fields.
2. Industry Experience:Candidates with data-related work experience in chemical drug R&D, clinical research, pharmaceutical analysis, or database construction at large domestic or global pharmaceutical companies are preferred.
3. Professional Skills:Proficiency in using biomedical/chemical databases such as SciFinder, Reaxys, STN, or GOSTAR is highly preferred.
4. Technical Skills:Ability to perform basic data processing using SQL, Python, etc. Experience in database design and practical implementation is a plus.
5. AI Technologies:Proficient in mainstream Large Language Models (LLMs) such as DeepSeek, GPT, Claude, and Gemini. Rich experience in AI applications and algorithms is preferred.
6. Comprehensive Abilities:Excellent logical thinking, business acumen, and fast-learning capabilities. Able to accurately translate complex business needs into data solutions. Outstanding cross-departmental communication, coordination, and project execution skills.
7. Language Skills:English as a working language (proficient in listening, speaking, reading, and writing). Excellent cross-cultural communication skills.
