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Deep Genomics Jobs in Toronto, ON (NOW HIRING)

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$8

$46

$89

How much do deep genomics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for deep genomics in Toronto, ON is $46.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.58 and $69.74 per hour, depending on experience, location, and employer.

What is a Deep Genomics?

A Deep Genomics job typically involves using artificial intelligence and machine learning to analyze genetic data and discover new insights for drug development, diagnostics, or personalized medicine. Professionals in this field work at the intersection of bioinformatics, computational biology, and AI, applying algorithms to predict the impact of genetic variations on health. Roles may include research scientists, bioinformaticians, data scientists, or software engineers specializing in genomics. These jobs are common in biotech companies, pharmaceutical firms, and research institutions aiming to advance precision medicine.

What are the key skills and qualifications needed to thrive in Deep Genomics?

To thrive in a Deep Genomics role, you need a strong background in computational biology, bioinformatics, and machine learning, often supported by a graduate degree in a related field. Expertise with data analysis tools such as Python, R, and deep learning frameworks like TensorFlow or PyTorch is typically required. Creative problem-solving, teamwork, and effective communication are highly valued soft skills. These capabilities are critical for developing advanced genomic solutions and collaborating with interdisciplinary teams to drive breakthroughs in personalized medicine.

What are some common challenges faced by professionals working in Deep Genomics?

Professionals in Deep Genomics roles often encounter challenges such as managing large and complex biological datasets, ensuring data quality, and developing models that generalize well to real-world scenarios. Working in this interdisciplinary field also requires ongoing learning to stay current with advancements in genomics and artificial intelligence. Team members frequently collaborate with wet lab scientists, clinicians, and data engineers, which can require strong cross-disciplinary communication and adaptability. Facing and overcoming these challenges offers valuable growth opportunities and makes significant contributions to the development of innovative therapies.

What are popular job titles related to Deep Genomics jobs in Toronto, ON?

For Deep Genomics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Deep Genomics jobs in Toronto, ON look for?

The top searched job categories for Deep Genomics jobs in Toronto, ON are:

Deep Genomics jobs near you
Infographic showing various Deep Genomics job openings in Toronto, ON as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $97,698 per year, or $47 per hour.

Senior Research Scientist, Machine Learning (BioFM)

Deep Genomics

Toronto, ON

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 days ago

Job description

About Us


Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA 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.

Opportunity


We are seeking an exceptional and creative Senior/Staff Machine Learning Scientist to lead and innovate within our core AI research team, specifically focusing on the creative building of Biological Foundation Models (BioFMs). You will pioneer novel deep learning architectures and pre-training paradigms that learn the fundamental language of the genome and cellular biology. Rather than just applying out-of-the-box ML to biological datasets, you will design the next generation of BioFMs from tackling complex -omics data at scale. If you are a first-principles thinker excited to bridge advanced ML with genome biology to solve high-impact, frontier problems in human health and drug discovery, this is a unique opportunity.


Key Responsibilities
  • Lead the creative research, architecture design, and training of Biological Foundation Models (BioFMs), on massive-scale genomic, transcriptomic, and single-cell datasets.
  • Collaborate closely with computational biologists and drug developers to integrate deep biological priors directly into model architectures and training objectives, ensuring our BioFMs capture fundamental and scientifically meaningful representations.
  • Rigorously implement, train, debug, and evaluate large-scale models to demonstrate scientific validity and drive progress on frontier problems in human health and genetic medicines.
  • Stay current with advancements in machine learning and computational biology research, identifying cross-disciplinary applications to solve real-world challenges.
  • Mentor junior scientists and engineers, fostering a culture of technical excellence and scientific curiosity through leadership and high-quality code review.
  • Share research findings through internal presentations and contribute to the scientific community via publications in top-tier venues.
Basic Qualifications
  • PhD (or evidence of equivalent level of expertise) with a strongly distinguished research focus in Computational Biology, Machine Learning, Computer Science, or a related quantitative field.
  • Deep understanding of modern deep learning and the creative building of foundation models, including CNNs, Transformers, and related sequence models (e.g., state-space models) specifically tailored for biological or genomic sequence data.
  • A demonstrated track record of building and scaling AI models for complex biological datasets (e.g., single-cell genomics, DNA/RNA sequences) from initial conception to production.
  • Proven ability to implement, train, and debug highly-performant deep learning models using frameworks like PyTorch.
  • Experience working with massive datasets and a deep understanding of the engineering and algorithmic challenges associated with scale.
  • Excellent communication skills, capable of discussing complex ideas seamlessly with both ML engineers and biological domain experts.
Preferred Qualifications
  • A strong track record of impactful research demonstrated through first-author publications in high-impact scientific journals (e.g., Nature, Science, Cell) or top-tier ML/CompBio conferences (e.g., NeurIPS, ICML, ICLR, ISMB, RECOMB).
  • 2+ years of relevant post-graduate experience at a leading industrial R&D lab or in a highly competitive academic environment building genomics AI.
  • Experience technically leading projects or mentoring junior researchers/engineers.
  • Proficiency with cloud computing platforms (e.g., GCP) for large-scale model training and experimentation.
  • Contributions to open-source projects demonstrating the ability to solve complex research problems in ML or computational biology.
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 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 encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company. 
 
If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.
 
 
*This posting reflects a current vacancy. 
 
We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $175,000 - $200,000, and reflects Canada-based roles; compensation may differ for U.S.-based candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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