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InnoHK Centre for Translational Stem Cell Biology (InnoHK CTSCB) leads global innovation in regenerative medicine, driving next-generation stem cell technology to achieve real-world impact. Through partnerships with the University of Hong Kong and the University of Cambridge and supported by the InnoHK initiative of the Innovation and Technology Commission, we transform pioneering discoveries into innovative applications and commercial successes.

Our patented Expanded Potential Stem Cell (EPSC) technology uniquely enables the generation of every human cell type, including embryonic and extra-embryonic lineages. This breakthrough technology accelerates the development of intelligent drug screening, precision medicine, and cell-based therapies, ultimately improving patient outcomes and enhancing quality of life worldwide.

Driven by our vision for healthy longevity and a spirit of collaboration, InnoHK CTSCB brings together leading experts from around the world, fostering a vibrant culture of innovation. Our research is strategically organized into three interconnected programmes that address pressing medical needs. 

Applicant is invited to join the Department of AI & Omics, primarily focusing on virtual cells, AI-driven drug discovery, gene regulatory network (GRN) construction, and cell fate control models. Specifically, the appointee will: 

1. Participate in AI-driven bioinformatics research, focusing on one or more of the following areas: Phenotype-based virtual screening of small molecule drugs; Virtual cell modeling, particularly incorporating gene regulatory networks for enhanced perturbation prediction. 

2. Conduct literature reviews and benchmark existing methods for de novo molecular design. 

3. Develop, train, and optimize deep learning models for biological data analysis. 

4. Collaborate with interdisciplinary teams to implement and explore algorithms for real-world biological applications. 

• Holding a degree of Bachelor, Master, or Ph.D.  in Artificial Intelligence, Computer Science, Bioinformatics, Computational Biology, or a related field. 

• Understanding of machine learning and deep learning concepts; familiarity with GNNs, diffusion, or transformer-based architectures is a plus. 

• Hands-on experience with biological data (e.g., omics, molecular structures, cell imaging) is highly desirable. 

• Strong programming skills in Python; experience with deep learning frameworks such as PyTorch or TensorFlow. 

• Ability to work both independently and collaboratively in a multidisciplinary team. 

• Prior research experience (e.g., publications or project contributions) in computational biology, bioinformatics, or cheminformatics is preferred. 

Benefits

• Close mentorship from faculty members and researchers at the University of Hong Kong. 

• Opportunity to contribute to the cutting-edge research projects at the intersection of AI and biology. 

• Collaborative and inclusive work environment. 

• Competitive internship stipend and flexible working hours. 

• Access to high-performance computing resources. 

Applicants can email your updated CV and a cover letter to recruit@hkstemcell.hk if you are interested in this internship/part-time position.