Post-doctoral Research Fellow, Molecular Medicine

3 months ago


Toronto, Canada SickKids Full time

**About SickKids**:
Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day. SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.

When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of _Healthier Children. A Better World_.

Don’t miss out on the opportunity to work alongside the world’s best in paediatric healthcare.

**Position Description**:
**Post-Doctoral Research Fellow**

**Earliest start date**: October 1st, 2024.
**Length of contract**: 1 year, with a possibility of extension.

**Here¿s What We Offer**:

- Interdisciplinary environment, with expertise and close collaborators in core ML, chemistry and biology, as well as industrial ties.
- Access to computational resources from SickKids Research Institute, internal GPUs, and Vector Institute clusters.
- Engagement with the Vector Institute and Acceleration Consortium ecosystems.
- Play a key role in a mission-driven research program.

**Here¿s What You Will Need**:

- PhD in a machine learning-related discipline or a biology-related discipline with a strong computational focus.
- Publication track record in top machine learning and/or computational biology conferences and journals.
- Strong programming skills in Python, demonstrated by completed projects, ideally with publicly available repositories for authored papers.
- Experience with ML frameworks such as PyTorch.
- Experience developing and training deep learning models.

**Assets (at least some of the below)**:

- Experience working with biological and chemical data.
- Experience with generative models, in particular for small molecule generation.
- Experience with active learning.
- Experience with multi-fidelity ML methods.
- Familiarity with docking, molecular dynamics, and ML approximations.
- Experience with foundational models and/or multi-modal contrastive learning.
- Interest in the biology of aging.
- Potential applicants are asked to provide, in addition to CV, two reference letters, brief research statement (up to one page), code sample and up to three selected publications._

**Our Commitment to Diversity**:
The children and families we care for are from a variety of communities, and so are our employees. We welcome and encourage everyone to join our organization and be part of our team.

Thank you for your interest in joining SickKids. Only those applicants selected for an interview will be contacted. In accordance with our Hospital policy, employment at SickKids is conditional upon the Hospital¿s receipt of all necessary documentation.

**How to Apply



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