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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. 

We are seeking highly motivated PhD graduates in Bioinformatics to play a core role on the AI & Omics Platform. The successful candidate will lead multi‑omics data analysis, develop robust analysis pipelines and tools, and build GRNs leveraging perturbation datasets.

• Perform single‑cell multi‑omics analyses (e.g., scRNA‑seq, scATAC‑seq, multi‑modal) and design/optimize analysis pipelines.
• Analyze transcriptomic perturbation datasets (e.g., Perturb‑seq) and develop standardized, reusable workflows.
• Construct gene regulatory networks (GRNs) based on perturbation data and related evidence.
• Conduct additional omics analyses as required by project goals and provide interpretable, actionable results.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Hands‑on experience in single‑cell omics data analysis, with publications as a lead or primary analyst.
• Demonstrated experience in developing bioinformatics tools and/or analysis pipelines.
• Background in machine learning/deep learning.
• Experience analyzing transcriptomic perturbation data (e.g., CRISPR‑based Perturb‑seq).
• Experience in GRN construction.
   

Please email the following to recruit@hkstemcell.hk 
Email subject: Application —Bioinformatics data scientist — [Your Name]
1. Curriculum Vitae (CV).
2. Brief research statement (1–2 pages).
3. Earliest available start date.

Applications will be reviewed on a rolling basis. Shortlisted candidates will be contacted for interview.