What are the responsibilities and job description for the Principal Scientist, Platform Technology position at Deep Genomics?
About Us
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 high-quality, proprietary, multi-omics 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 cutting-edge genomic technologies, including screening and automation, (3) ability to build production-scale 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 cross-functional stakeholders.
Key Responsibilities
Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
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 high-quality, proprietary, multi-omics 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 cutting-edge genomic technologies, including screening and automation, (3) ability to build production-scale 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 cross-functional 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 high-throughput liquid-handling 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 single-cell 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 large-scale genomic data.
- Align preclinical strategies with regulatory and clinical goals through cross-functional collaboration (e.g., Platform Biology).
- Mentor junior scientists and provide technical leadership to interdisciplinary teams.
- PhD in Biological Sciences 6 years of industry experience or MSc 10 years of industry experience in early-stage drug development (focus on target validation/nucleic acid therapies).
- Hands-on expertise in developing/running NGS workflows, with deep knowledge of both wet-lab and computational genomics.
- Proven ability to collaborate with computational teams to build scalable analytical tools.
- Experience industrializing workflows and establishing SOPs.
- Mastery of: NGS platforms (Illumina, PacBio, Nanopore), molecular biology techniques (PCR, cloning, nucleic acid isolation) and bioinformatics tools.
- 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 wet-lab and computational teams effectively.
- High emotional intelligence, integrity, and creativity—open to giving/receiving constructive feedback.
- Self-driven with experience thriving in fast-paced, cross-functional, entrepreneurial environments.
- 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 top-up 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 thanks all applicants, however only those selected for an interview will be contacted.
