Open Positions

03/2026

PhD positions: We are recruiting highly motivated PhD students to join Ding Lab at McGill University. PhD students will receive full tuition support and a living stipend. We welcome applicants with backgrounds in biology, mathematics, computation, artificial intelligence, or related areas.

Ideal PhD applicants should be curious, self-motivated, and interested in computational biology, AI for biomedicine, and data-driven discovery. Prior experience in machine learning, computational biology, or single-cell genomics is welcome but not required.

Postdoctoral positions: We are also recruiting postdoctoral fellows in related research areas. Ideal postdoctoral applicants should be self-motivated and excited about virtual cell and disease simulation, with a strong interest in using deep learning to advance the diagnosis and treatment of complex diseases, especially AI-assisted drug design. Applicants should have strong backgrounds in biology, mathematics, computation, artificial intelligence, or related fields, with hands-on experience in PyTorch and deep learning. Familiarity with single-cell genomics and common analysis tools such as Seurat and Scanpy is highly desirable. Salary will be discussed directly with the PI.

Research directions include:
1. Generative modeling and representation learning for single-cell multi-omics
2. Modeling cell fate and disease progression
3. Deep generative models (VAE, diffusion, flow, GNNs, etc.)
4. LLM-driven in silico perturbation and target evaluation
5. AI-enabled drug repurposing and molecular design

If you are interested, please email Dr. Ding at jun.ding@mcgill.ca with your CV.

09/2021

We always seek talented individuals who share our passion for single-cell genomics and appreciate a highly collaborative environment. We currently have a few open positions in computational biology/Bioinformatics and genomics for students (PhDs, Masters, Undergraduates) who are passionate about driving biological discoveries and medical innovations via developing computational approaches (particularly machine learning ones). Python, machine learning, and single-cell genomics experience are strongly preferred (but not must). If you're interested in, please don't hesitate to send me (jun.ding@mcgill.ca) your CV and a cover letter.