Fudan–Innogen Postdoctoral Programme — AI for Metabolic Disease Drug Discovery

The research programme

The programme combines computational thinking, research into metabolic-disease mechanisms and practical experience translating research into drug development. Its training supports research in metabolic-disease prevention and biomedical innovation.

Innogen contributes its work in metabolic-disease medicines, including independently developed efsubaglutide alfa, which has reached the market. Fudan contributes expertise in life sciences, medicine, materials science and AI.

The work you’ll do

• Discover targets related to metabolic disease, design large-molecule medicines and investigate their mechanisms.
• Develop and refine AI and machine-learning models to address scientific questions in metabolic-disease drug discovery.
• Use protein engineering and developability research to improve the potential of drug candidates.
• Contribute to the analysis of clinical-trial and multi-omics data and to translational research.
• Help build databases and algorithm platforms that make R&D data more useful.
• Publish high-quality papers, apply for patents and take part in academic exchange in China and internationally.

Multidisciplinary supervision

The programme offers joint guidance across medicine, engineering, pharmacy and computation. The supervisory group includes:

• Professor Qinghua Wang, Innogen founder: metabolic-disease translational research and commercialization; inventor of efsubaglutide alfa and other innovative large-molecule medicines.
• Professor Dejing Dou, Fudan University: health AI, with guidance on AI methods for the programme.
• Professor Lin Yu, Fudan University: biomedical materials and drug delivery, supporting drug-candidate engineering and formulation optimization.

Required background

• A PhD awarded within the previous three years, or nearing completion, in life sciences, medicine, pharmacy, biomedical engineering, AI or computing, bioinformatics, molecular or cell biology, or a related field.
• A strong interest in metabolic-disease research or applying AI to drug discovery.
• Strong research skills and the ability to communicate and collaborate across disciplines.
• Good English reading and writing skills, with a track record of research output.

Preferred experience

• Experience in AI- or machine-learning-assisted drug design, bioinformatics or clinical-data analysis.
• Programming ability in Python or R.
• Research experience in metabolic disease, diabetes, obesity or related subjects.

Research support and development

• Compensation follows Fudan University and Shanghai postdoctoral policies, with additional company performance rewards.
• Clinical-trial and metabolic-disease cohort data are provided to support research.
• Support for applications to postdoctoral grants, talent programmes and research projects.
• Strong performers may receive priority consideration for joining Innogen or pursuing further opportunities at a university or hospital.

How to apply

Send the following materials to hr@innogenpharm.com. Use the email subject “博士后应聘 + 姓名 + 研究方向” (postdoctoral application + name + research area).

• CV.
• A proposed research plan of 1–2 pages.
• Representative papers or research outputs.
• Referee contact details or reference letters.
• Expected start date.
• Applications are reviewed on a rolling basis, with selection on merit.