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Biotech Data Science Jobs in Ontario (NOW HIRING)

Premier Research

... Data Science, or a related quantitative field (Master's preferred). * 5+ yearsof programming experience in the pharmaceutical, biotechnology or CRO industry * 3+ years of hands-on experience with R ...

Clarivate

Healthcare Research & Data Analyst

Toronto, ON · Hybrid

CA$54K - CA$68K/yr

... biotechnology and MedTech companies. We combine deep domain expertise and data driven analysis to ... Bachelor's degree with a concentration in sciences, healthcare, data analytics, or business.

Inizio Engage

CA$90K - CA$100K/yr

... with data, science, and technology to deliver bespoke engagement solutions that help clients ... biotechnologie de premier plan, dans le secteur commercial, solutions patients et affaires ...

Posted today

Inizio Engage

CA$90K - CA$100K/yr

... with data, science, and technology to deliver bespoke engagement solutions that help clients ... biotechnologie de premier plan, dans le secteur commercial, solutions patients et affaires ...

Posted today

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Biotech Data Science information

See Ontario salary details

$25K

$116K

$201K

How much do biotech data science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for biotech data science in Ontario is $115,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $146,000.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

What are the most common challenges faced by professionals in Biotech Data Science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

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

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are the most commonly searched types of Biotech Data Science jobs in Ontario? The most popular types of Biotech Data Science jobs in Ontario are:
What are popular job titles related to Biotech Data Science jobs in Ontario? For Biotech Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Ontario look for? The top searched job categories for Biotech Data Science jobs in Ontario are:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Ontario as of July 2026, with employment types broken down into 92% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $115,986 per year, or $55.8 per hour.

Data Product Manager - Analytical Data Products

ShyftLabs

Toronto, ON • On-site

Full-time

Medical, Dental, Vision

Posted 17 days ago

Job description

About ShyftLabs

ShyftLabs is a fast-growing data and AI company that helps organizations unlock the value of their data through modern engineering, analytics, and intelligent products. We partner with Fortune 500 organizations to build scalable cloud solutions, AI-driven platforms, and innovative data products that accelerate business outcomes.

We're looking for a Data Product Manager to join our growing Data Products team. This role is ideal for someone who combines strong product management expertise with a deep understanding of modern data platforms and enjoys partnering directly with clients to translate complex business challenges into scalable analytical solutions.

Reporting to the Director of Analytical Data Products, you'll own the strategy, roadmap, and execution for a portfolio of analytical data products while serving as the primary point of contact for client stakeholders. You'll collaborate closely with engineering, analytics, and architecture teams to deliver high-quality, reusable data products that drive measurable business value.

What You'll Do
Product Strategy & Ownership
  • Own the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
  • Define product vision and priorities aligned with client business objectives and organizational strategy.
  • Balance new feature development with technical debt reduction, platform scalability, and long-term product sustainability.
  • Monitor product performance and usage metrics to identify opportunities for optimization and future enhancements.
Client Partnership
  • Serve as the primary client-facing product lead throughout product delivery.
  • Lead discovery workshops, requirements gathering sessions, and solution scoping discussions.
  • Translate business objectives into clear product requirements and prioritized development backlogs.
  • Build trusted relationships with client stakeholders by communicating technical concepts in a clear, business-focused manner.
  • Manage stakeholder expectations while balancing competing priorities across multiple initiatives.
Product Delivery
  • Maintain, prioritize, and refine product backlogs based on evolving business needs.
  • Partner closely with Engineering, Analytics, Architecture, and Data teams to deliver scalable analytical data products.
  • Lead Agile ceremonies including sprint planning, backlog refinement, stand-ups, retrospectives, and release planning.
  • Ensure successful product launches and ongoing operational excellence.
Data & Technical Leadership
  • Collaborate with engineering teams to define data quality, governance, testing, and usability standards.
  • Contribute to architectural discussions involving modern data platforms including Snowflake, BigQuery, ClickHouse, and similar technologies.
  • Advocate for reusable, scalable data products using modern architectural principles including Data Mesh, Data Fabric, Semantic Layer, and FAIR principles.
  • Perform hands-on SQL analysis and data validation when necessary to support product decisions and client discussions.
Cross-Functional Collaboration
  • Partner with Legal, Privacy, Compliance, and Security teams to ensure products meet regulatory and governance requirements.
  • Work closely with executive stakeholders to communicate product strategy, delivery progress, and technical tradeoffs.
  • Foster a product-led culture focused on delivering measurable business value through data.
What You Bring
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.
  • 3-5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.
  • Proven experience managing the full product lifecycle from discovery through launch and continuous improvement.
  • Strong client-facing experience with the ability to gather requirements, influence stakeholders, and manage expectations.
  • Advanced SQL skills with the ability to analyze datasets and validate business hypotheses.
  • Experience working with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, Redshift, or similar technologies.
  • Working knowledge of:
    • Data governance
    • Semantic layer concepts
    • FAIR principles
    • Modern data architecture patterns
  • Experience working within Agile product development environments.
  • Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Nice to Have
  • Master's degree in Engineering, Data Science, Business, or a related field.
  • Experience within Pharma, Biotechnology, Financial Services, Consumer Packaged Goods (CPG), or Management Consulting.
  • Familiarity with Customer Data Platforms (CDPs), Omnichannel Marketing, or Digital Marketing Analytics.
  • Demonstrated experience using product usage metrics and customer insights to prioritize roadmap investments.
  • Experience working with enterprise-scale data products serving multiple business units or external clients.
Salary Range
  • $130,000 - $160,000 (CAD)
Why You'll Love Working at ShyftLabs
Hybrid Flexibility: 3 days per week in our downtown Toronto office. 
Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
Growth & Learning: Continuous learning opportunities and influence over technical direction.
 
Inclusion at ShyftLabs
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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