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**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**:
The position will report directly to the PI and will involve close interactions with other members of our interdisciplinary group (both wet and dry-lab), including graduate students, post-doctoral fellows, clinicians, and informatics facility members.
**Here's What You'll Get To Do**:
- Variant and copy number analysis in DNA sequencing data (panel, exome, genome)
- RNA sequencing, proteomic (mass spectrometry), methylation, ATACseq, and other forms of multi-omic data
- Single cell RNA/ATACseq and spatial transcriptomics
- Digital pathology whole slides images for computer vision analysis (i.e. through deep learning)
- Natural language processing for data extraction from medical records
**Here's What You'll Need**:
- M.Sc. or equivalent degree in bioinformatics, computational biology, computer science, biomedical engineering, medical science, or a related field.
- Familiarity with Linux-based environments and high-performance computing clusters
- Excellent programming skills (ideally Python and/or R)
- Understanding of general biology, genetics, and cancer (equivalent to mid-level undergraduate course level)
- Preferred experience/knowledge:
- Workflow programming tools (Snakemake and/or Nextflow)
- Machine learning/deep learning
- Medical image analysis
- NGS data analysis
- Some wet lab biology experience (such as through co-ops or undergraduate labs)
- Excellent communication and teamwork skills.
- A commitment to understanding and aiding in the pursuit of equity, diversity and inclusion.
**_ Please include link to GitHub page/profile as part of your CV._**
**Employment Type**: Full time temporary 1 year contract
**Our Commitment to Diversity**:
SickKids is committed to championing equity, diversity and inclusion in all that we do, fostering an intentionally inclusive and culturally safe environment that reflects the diversity of the patients, families and communities we serve. Learn more about workplace inclusion.
**Accessibility & Accommodation**:
**How To Apply**:
