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Full Time Biotech Data Science Jobs in Toronto, ON

Fortis Life Sciences

Associate Scientist

Toronto, ON · On-site

CA$24 - CA$30/hr

We are seeking a Junior Scientist / Associate Scientist to join our growing biotechnology team ... Collect, analyze, and interpret experimental data. * Troubleshoot experimental issues and ...

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

Qualifications: - Minimum of 6+ years of professional experience in an applied data science ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

City of Toronto

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

L79 Full-time Number of Positions Open: 1 Posting Period: 17-AUG-2026 to 31-AUG-2026 Shift ... Uses data science to formulate solutions and/or recommendations (i.e. including utilization of ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

Valspec

Documentation / Data Lead

Toronto, ON

... Life Sciences industry. Established in 1999, Valspec's mission is to provide a wide spectrum of ... Documentation/Data Lead -- East Coast (Greenfield Pharma/Biotech Program) About the Role Join a ...

New

Klick Health

Consultant

Toronto, ON · Hybrid

... data science and AI capabilities. Founded in 1997, we have offices in Toronto, New York, Oxford ... Familiarity with pharmaceutical, medical device, biotech, or broader healthcare commercialization ...

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.

City of Toronto

DATA SPECIALIST

Toronto, ON · On-site

CA$5.1K/mo

... Duration: Full Time, Temporary (12 month) Vacancy Salary Range: $89,337.00 -$132,880.00, TM5110 ... Post-secondary degree or diploma in Database System Management or Computer Sciences, or an ...

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All JobsBiotech Data Science JobsFull Time Biotech Data Science JobsFull Time Biotech Data Science Jobs in Toronto, ON

Full Time Biotech Data Science information

What is a full time biotech data science job?

A Full Time Biotech Data Science job involves using data analysis, statistical modeling, and machine learning techniques to solve problems in the biotechnology field. Professionals in this role work with large biological data sets, such as genomic, proteomic, or clinical data, to derive insights that support research, drug development, or healthcare innovations. They often collaborate with biologists, chemists, and software engineers to develop data-driven solutions for complex biological challenges. This role typically requires a strong background in both life sciences and data science, as well as proficiency with programming languages like Python or R.

What are some common challenges faced by data scientists working in biotech, and how can these be addressed?

Data scientists in biotech often encounter challenges such as handling complex and high-dimensional biological data, integrating heterogeneous data types (like genomic, clinical, and imaging data), and ensuring data quality and reproducibility. Collaborating closely with biologists, clinicians, and other domain experts is crucial for understanding the context and nuances of the data. Continuous learning, leveraging robust data-cleaning pipelines, and using specialized bioinformatics tools can help overcome these obstacles and contribute to impactful discoveries in the biotech field.

What are the key skills and qualifications needed to thrive as a full time biotech data scientist, and why are they important?

To thrive as a Full Time Biotech Data Scientist, you need a solid background in biology or biotechnology, advanced statistical analysis, and programming skills (such as Python or R), typically supported by a relevant degree (e.g., bioinformatics, computational biology, or data science). Familiarity with bioinformatics tools, machine learning frameworks, and database management systems is essential, along with experience using platforms like TensorFlow, scikit-learn, or SQL. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable effective extraction, analysis, and interpretation of complex biological data, driving innovative solutions and impactful research in biotech environments.

What is the difference between Full Time Biotech Data Science vs Full Time Bioinformatics Data Scientist?

AspectFull Time Biotech Data ScienceFull Time Bioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fields; programming skills in Python, RBachelor's or Master's in Bioinformatics, Computational Biology, or related fields; programming skills in Python, R
Work EnvironmentPharmaceutical companies, biotech firms, research labsResearch institutions, biotech companies, healthcare organizations
Industry UsageData analysis, predictive modeling, clinical trial dataGenomic data analysis, sequence alignment, biological data interpretation

Full Time Biotech Data Science focuses on analyzing biological data using data science techniques, often involving clinical and experimental data. Full Time Bioinformatics Data Scientist specializes in interpreting genomic and biological datasets, emphasizing sequence analysis and biological insights. Both roles require similar skills but differ in their primary data types and application areas.

What are the most commonly searched types of Biotech Data Science jobs in Toronto, ON?

The most popular types of Biotech Data Science jobs in Toronto, ON are:

What are popular job titles related to Full Time Biotech Data Science jobs in Toronto, ON?

For Full Time Biotech Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Full Time Biotech Data Science jobs in Toronto, ON look for?

The top searched job categories for Full Time Biotech Data Science jobs in Toronto, ON are:

Full Time Biotech Data Science jobs near you
Infographic showing various Full Time Biotech Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.

Data Scientist Intern (Winter/January 2027, 4-8 Months)

Internship List

Oakville, ON

Full-time, Internship

Posted 4 days ago

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern who will contribute to data exploration, transformation, and productionization for one of our product pillars. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Data Scientist Intern your key area of responsibility will be the design and construction of new metrics and data models using prototypes, algorithms, predictive models, and custom analyses. 

This internship position works closely with a team of data scientists, product managers, and other technical professionals to analyze trends, enable data driven decision-making, and produce effective customer-facing products.

The opportunity:
  • 4-8 month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Pull data sets and assemble presentations and visualization for strategic customers and early adopters of new or in progress features
  • Assist in dashboarding and visualizations for coverage and accuracy metrics for data science models
  • Test the performance of data-driven products and make recommendations for improving Geotab's product suite
  • Contribute to the sprint development and review cycle within your  assigned pillar's data science team 
  • Create algorithms and predictive models to extract information required to solve complex business problems.
  • Generate queries from Geotab's Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).
What you'll bring to the role:
  • Working towards a degree in engineering, mathematics, or computer science
  • Interest or experience in sensor data and data cleaning
  • SQL and Python experience 
  • Experience using a BI platform like looker, or PowerBI. Superset specifically is an asset
  • Willingness to learn and creative mindset.
  • Eager to experience working within a technical or engineering organization.
  • High accuracy and meticulous attention to detail.
  • Ability to work well under pressure and respond to fast changing priorities.
  • Highly organized
  • Strong team player
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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