ZipRecruiter

Log In

1

Machine Learning Biology Jobs in Ontario (NOW HIRING)

Manifold Bio

CA$140K - CA$225K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field * 2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications

Deep Genomics

Senior MLOps Engineer

Toronto, ON · On-site

Knowledge of biology and/or machine learning science. * Familiarity with data compliance and governance frameworks (e.g., HIPAA, SOC 2). * Previous startup experience. What We Offer * A collaborative ...

Genentech

Senior Data Scientist

Mississauga, ON

CA$156K - CA$290K/yr

Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets ... biologics. Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ...

Lyft

Data Science Manager, Rider Experience

Toronto, ON · On-site

Experience building or operationalizing machine learning models (e.g., propensity, segmentation ... Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ...

Uottawa

CA$200K/yr

... biological, cognitive, behavioural, and systems levels. Areas of particular interest include neuroimaging, computational psychiatry, artificial intelligence and machine learning, multimodal data ...

Lyft

Data Scientist, Decisions - Payments

Toronto, ON

... develop machine learning models * Analyze the wide variety of signals available to identify ... Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ...

New

Lyft

Data Engineer, Pricing

Toronto, ON · On-site

... machine learning and data science on projects that directly impact millions of riders and drivers ... Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ...

Lyft

Senior Engineering Manager, Mapping

Toronto, ON · On-site

... processing, machine / deep learning pipelines, routing and ETA models, driver and passenger ... Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits Lyft is ...

All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in Ontario

Machine Learning Biology information

See Ontario salary details

$22K

$113.6K

$214.5K

How much do machine learning biology jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning biology in Ontario is $113,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $156,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are popular job titles related to Machine Learning Biology jobs in Ontario? For Machine Learning Biology jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Ontario look for? The top searched job categories for Machine Learning Biology jobs in Ontario are:
Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Ontario as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $113,619 per year, or $54.6 per hour.

Senior Research Scientist, Machine Learning (BioFM)

Deep Genomics

Toronto, ON • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 29 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.
apply for this job

Apply