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Bioinformatics Canada Jobs (NOW HIRING)

Contribute to assay development and validation, and to bioinformatic or analytical pipelines as ... The lab leads an international consortium with partners across India, Ethiopia, the UK, Canada, and ...

... Canada. They will be responsible for achieving sales and growth targets for our Software and Data ... Typically requires a Bachelors of Science degree in Bioinformatics, Molecular Biology, Genetics, or ...

... Canada. They will be responsible for achieving sales and growth targets for our Software and Data ... Typically requires a Bachelors of Science degree in Bioinformatics, Molecular Biology, Genetics, or ...

... Canada. They will be responsible for achieving sales and growth targets for our Software and Data ... Typically requires a Bachelors of Science degree in Bioinformatics, Molecular Biology, Genetics, or ...

Scientist III

Ridgefield, CT ยท On-site

$49/hr

... or Bioinformatics preferred) OR Bachelor's degree from an accredited institution with seven-plus ... S. states and Canada, we support thousands of consultants through our expansive, high-performing ...

Senior ML/Research Scientist

Mountain View, CA ยท On-site +1

$116K - $148K/yr

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ... Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.

Senior ML/Research Scientist

Mountain View, CA ยท On-site

$116K - $148K/yr

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ... Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.

S. and Canada, available benefits are determined by local policy and eligibility and may include: * Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on ...

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Bioinformatics Canada information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics canada jobs pay per year?

As of Aug 28, 2026, the average yearly pay for bioinformatics canada in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is bioinformatics and what do bioinformaticians in Canada do?

Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyze and interpret biological data, especially large datasets like those from genomics and proteomics. Professionals in Bioinformatics Canada work on developing algorithms, creating software tools, and managing databases to support biological research and healthcare innovation. They may collaborate with researchers, clinicians, and industry partners to solve complex biological problems and advance scientific discovery in areas such as personalized medicine and agriculture.

What are the key skills and qualifications needed to thrive as a bioinformatician in Canada?

To thrive as a Bioinformatician in Canada, you generally need a strong background in biology, computer science, and statistics, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency with programming languages (such as Python, R, or Perl), experience using bioinformatics software and databases, and familiarity with high-performance computing environments are essential technical skills. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating with interdisciplinary teams and translating complex data into actionable insights. These qualifications are crucial for advancing research, supporting data-driven decisions, and driving innovation in the rapidly evolving field of life sciences.

What are some common challenges faced by bioinformaticians in Canada, and how can they overcome them?

Bioinformatics professionals in Canada often encounter challenges such as integrating diverse biological data sources, staying updated with rapidly evolving technologies, and collaborating effectively with multidisciplinary teams. Navigating bilingual work environments and securing funding for research projects can also be unique to the Canadian context. To overcome these challenges, professionals are encouraged to participate in ongoing training, attend national conferences, and actively collaborate with both academic and industry partners to build strong professional networks.

What is the difference between Bioinformatics Canada vs Bioinformatics Analyst?

AspectBioinformatics CanadaBioinformatics Analyst
CredentialsTypically requires a degree in bioinformatics, biology, or related fields; certifications are optionalRequires a degree in bioinformatics, computer science, or related disciplines; certifications can enhance prospects
Work EnvironmentResearch institutions, government agencies, collaborative projects across CanadaBiotech companies, research labs, healthcare institutions
Industry UsageNational organization promoting bioinformatics research and collaborationOperational role analyzing biological data within organizations

Bioinformatics Canada is a national organization supporting bioinformatics research and collaboration, while a Bioinformatics Analyst is a professional working within organizations to analyze biological data. The two roles share similar educational backgrounds but differ in scope and responsibilities, with Bioinformatics Canada focusing on research facilitation and Bioinformatics Analysts on data analysis tasks.

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What cities are hiring for Bioinformatics Canada jobs?

Cities with the most Bioinformatics Canada job openings:

What states have the most Bioinformatics Canada jobs?

States with the most job openings for Bioinformatics Canada jobs include:

Infographic showing various Bioinformatics Canada job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 43% Physical, 2% Hybrid, and 55% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA โ€ข On-site, Remote

$55 - $73/hr

Full-time

Re-posted yesterday


Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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