Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets mechanisms and therapeutics inaccessible through traditional methods. With expertise spanning machine learning bioinformatics data science engineering and drug development our multidisciplinary team in Toronto and Cambridge MA is revolutionizing how new medicines are created.
Where You Fit In
The Principal Scientist will join the Platform Technologies team to evaluate integrate and advance our capabilities in NGS genomics molecular biology and cellular technologies. The team applies these methods to generate highquality proprietary multiomics data at scale which is critical for training and validating AI models to uncover pathway biology and novel biological mechanisms and identifying new therapeutic targets and optimizing nucleic acid therapeutics. This is a highly innovative role requiring: 1 deep expertise in NGS method development genomic data generation and molecular biology 2 passion for advancing cuttingedge genomic technologies including screening and automation 3 ability to build productionscale pipelines leveraging automation for high throughput scalability and reproducibility. You will collaborate closely with Machine Learning Platform Biology and Computational Biology teams to design experiments analyze NGS data and interpret results for crossfunctional stakeholders.
Key Responsibilities
Serve as the primary NGS expert providing technical guidance on research strategy to internal teams and external partners.
Innovate optimize and troubleshoot genomic workflows including automation and highthroughput liquidhandling systems.
Enhance the existing platform by integrating new genomics tools to improve target identification/validation and refine machine learning models.
Design develop and implement functional genomic screens at singlecell resolution in cell lines and primary cells.
Oversee molecular profiling and genomics needs for Deep Genomics programs.
Collaborate with computational biologists to develop novel analysis pipelines for genomics datasets.
Partner with ML/AI teams to analyze and refine computational approaches for largescale genomic data.
Align preclinical strategies with regulatory and clinical goals through crossfunctional collaboration (e.g. Platform Biology).
Mentor junior scientists and provide technical leadership to interdisciplinary teams.
Basic Qualifications
PhD in Biological Sciences 6 years of industry experience or MSc 10 years of industry experience in earlystage drug development (focus on target validation/nucleic acid therapies).
Handson expertise in developing/running NGS workflows with deep knowledge of both wetlab and computational genomics.
Proven ability to collaborate with computational teams to build scalable analytical tools.
Experience industrializing workflows and establishing SOPs.
Ability to simplify complex data for stakeholders from diverse backgrounds.
Track record in therapeutic target discovery and/or gene therapy development.
Strong communicator who bridges wetlab and computational teams effectively.
High emotional intelligence integrity and creativityopen to giving/receiving constructive feedback.
Selfdriven with experience thriving in fastpaced crossfunctional entrepreneurial environments.
What we offer
A collaborative and innovative environment at the frontier of computational biology machine learning and drug discovery.
Highly competitive compensation including meaningful stock ownership.
Comprehensive benefits including health vision and dental coverage for employees and families employee and family assistance program.
Flexible work environment including flexible hours extended long weekends holiday shutdown unlimited personal days.
Maternity and parental leave topup coverage as well as new parent paid time off.
Focus on learning and growth for all employees learning and development budget & lunch and learns.
Facilities located in the heart of Toronto the epicenter of machine learning and AI research and development and in Kendall Square Cambridge Mass. a global center of biotechnology and life sciences.
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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