Biology Jobs in York, ON

About the Role

Reporting to the CSO, the Head of Platform Technology will define, grow, and manage a team responsible for evaluating, integrating, and advancing our NGS, genomics, molecular biology, and cellular technology capabilities. The team is responsible for applying these methods to generate high quality, proprietary, multi-omics data at scale for training and validation of AI capabilities for uncovering pathway biology and new biological mechanisms, novel target ID, and optimization of nucleic acid therapeutics. This is a highly innovative position that requires a deep understanding of NGS method development, genomic data generation, molecular biology, screening technologies, and a passion for developing cutting-edge genomic technologies. It also requires the ability to build production scale pipelines leveraging automation as appropriate to achieve scale, throughput, and reproducibility. You will work closely with the Machine Learning, Platform Biology, and Computational Biology teams to design experiments, analyze NGS data, and help interpret results for cross-functional teams.

Key Responsibilities

• Work cross-functionally with internal stakeholders to define and execute a strategy that grows the AI platform to unlock new genetic medicines.
• Build and lead a team of scientists dedicated to the development and implementation of sequencing, molecular profiling, and assay technologies across single-molecule and cellular assays to broad -omics applications.
• In collaboration with the Machine Learning team, identify opportunities, set strategy, and lead execution of projects for generation of large scale multi-omics data in disease-relevant contexts for model training validation.
• Build an environment & culture focused on generating high quality proprietary data, and create a tight feedback loop between modeling & experiment through close collaboration with the machine learning, Target ID, and Platform Technology teams.
• Work with the computational biology and engineering teams to develop analytical methods and ensure efficient data capture through the ELN system and Deep Genomics Nexus platform.
• Contribute to key corporate initiatives by supporting business development activities as well as identifying opportunities to access relevant data sets through strategic partnerships.
• Demonstrate strong leadership, personal accountability and interpersonal skills, and capability for mentoring (direct reports & others).
• Present data and strategy to scientists and management in internal and external venues and publish in peer-reviewed journals as appropriate.

Basic Qualifications :

Preferred Qualifications :

What we offer :

Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.

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