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Genomics Jobs in Toronto, ON (NOW HIRING)

DNAstack

Bioinformatics Analyst

Toronto, ON · Remote

You'll be responsible for developing, optimizing, and maintaining high-performance, cloud-ready genomic pipelines that can be run reproducibly and at scale. You'll work both independently and ...

DNAstack

Bioinformatics Analyst

Toronto, ON

You'll be responsible for developing, optimizing, and maintaining high-performance, cloud-ready genomic pipelines that can be run reproducibly and at scale. You'll work both independently and ...

DNAstack

Bioinformatics Team Manager

Toronto, ON · Remote

Strong understanding of genomics and bioinformatics, with the ability to engage in scientific discussions and shape technical direction. * Experience with core bioinformatics tools and data types (e ...

DNAstack

Bioinformatics Team Manager

Toronto, ON

Strong understanding of genomics and bioinformatics, with the ability to engage in scientific discussions and shape technical direction. * Experience with core bioinformatics tools and data types (e ...

DNAstack

Software Engineer (II)

Toronto, ON

You will also have the opportunity to define standards for the future of genomics. We are highly collaborative, and a lot of our work happens in partnerships and research consortia. We work with ...

Roche

Software Engineer

Mississauga, ON · On-site

You will help build and maintain systems that process genomic data efficiently, ensuring that our solutions are performant, maintainable, and can scale to handle large datasets. Core Responsibilities ...

UNAVAILABLE

Staff Accountant

Mississauga, ON

Overview Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker's high performance life ...

Bruker

Title Staff Accountant

Mississauga, ON

In close coordination with our customers, Bruker is enabling innovation, improved productivity, and customer success in post-genomic life science molecular and cell biology research, in applied and ...

Bruker

Staff Accountant

Mississauga, ON · On-site

Overview Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker's high performance life ...

LGC Group

Analytical Chemist Level 2

Woodbridge, ON · On-site

Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers ...

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All JobsGenomics JobsGenomics Jobs in Toronto, ON

Genomics information

See Toronto, ON salary details

$33.4K

$112.1K

$185.6K

How much do genomics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for genomics in Toronto, ON is $112,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,032.00 and $146,491.00 per year, depending on experience, location, and employer.

What is a genomics job?

A genomics job involves studying an organism's entire genetic makeup to understand gene functions, interactions, and variations. Professionals in this field work in research, healthcare, pharmaceuticals, or biotechnology, using advanced tools like sequencing technologies and bioinformatics. Their work can help in disease research, precision medicine, agriculture, and evolutionary biology. Common roles include genomic scientists, bioinformaticians, and clinical geneticists.

What are typical daily responsibilities for someone working in genomics?

Professionals in Genomics typically spend their days designing experiments, preparing and processing biological samples, and conducting analyses using high-throughput sequencing technologies. They also interpret large datasets using specialized bioinformatics tools, prepare reports or present findings to stakeholders, and collaborate with other scientists such as clinicians, computational biologists, or data analysts. The work environment can be a mix of laboratory work and computational data analysis, depending on the specific position. Regular team meetings and collaboration are common, especially in research or clinical settings where interdisciplinary problem-solving is essential.

What are the key skills and qualifications needed to thrive in the genomics position, and why are they important?

To thrive in a Genomics role, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science and relevant laboratory experience. Proficiency with genomic sequencing platforms (such as Illumina or Oxford Nanopore), data analysis software, and experience with databases like NCBI or Ensembl are commonly required. Critical thinking, attention to detail, and collaborative communication are essential soft skills for interpreting complex data and working within multidisciplinary teams. These competencies are important for ensuring accurate genetic analysis, driving research projects, and making meaningful scientific contributions.

Does genomics pay well?

Genomics professionals, such as genomic scientists and bioinformaticians, typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 to $70,000 annually, while experienced specialists can earn over $100,000, especially with advanced skills in data analysis and laboratory techniques.

Is genomics a good career?

Genomics is a growing field that involves studying an organism's complete set of DNA. Careers in genomics often require strong skills in molecular biology, bioinformatics, and laboratory techniques, with opportunities in research, healthcare, and biotechnology sectors. The field offers competitive salaries and demand for skilled professionals is expected to increase with advances in personalized medicine and genetic research.

What jobs can you get with a genomics degree?

A genomics degree can lead to roles such as genomic researcher, bioinformatics analyst, laboratory technician, or clinical geneticist. These jobs often require skills in molecular biology, data analysis, and familiarity with sequencing technologies and software tools.

What skills do you need for genomics?

Genomics professionals need strong skills in molecular biology, genetics, and bioinformatics, including proficiency with data analysis tools and programming languages like Python or R. Attention to detail, problem-solving abilities, and knowledge of laboratory techniques are also essential for success in the field.

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

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

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

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

Genomics jobs near you
Infographic showing various Genomics job openings in Toronto, ON as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,099 per year, or $53.9 per hour.

Senior Research Scientist, Machine Learning (BioFM)

Deep Genomics

Toronto, ON • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 19 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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