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Full Time Biotech Data Science Jobs in Toronto, ON

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... This is a full-time hybrid position based in Toronto, Canada, with an expectation of at least three ...

Canadian Tire

Data Scientist

Oakville, ON

CA$53K - CA$88K/yr

Oakville, ON Full time JR What you'll do: Lead machine learning projects that drive origination ... University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ...

Canadian Tire

Data Scientist

Oakville, ON

CA$53K - CA$88K/yr

Oakville, ON Full time JR What you'll do: Lead machine learning projects that drive origination ... University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ...

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

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 ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

... Data Science, Systems Evaluation, or Product Analytics). - BS/MS in a quantitative field such as ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

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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 Science, Senior Consultant - Healthcare & Life Sciences, Elevate

Simon-Kucher & Partners

Toronto, ON • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Job description

Simon-Kucher's sole focus is on unlocking better growth for our clients, increasing their long-term sales, value, and profit. We achieve this by optimizing every lever of their commercial strategy - customer engagement, product, pricing, innovation, marketing, distribution, and sales.

At Simon-Kucher, our vision is to become theworld's leading growth specialist. We are a global management consulting firmthat specializes in strategy, marketing, pricing, and sales. We help companiesoptimize their commercial strategies and achieve profitable growth. With nearly40 years of experience, we have a strong track record of delivering tangibleresults for our clients across various industries.
The healthcare and life sciences industry istransforming rapidly. Advances in data, analytics, AI, digital health, andpersonalized medicine are creating new opportunities for pharmaceutical,biotech, medtech, provider, payer, and healthcare technology organizations toimprove patient outcomes while driving sustainable commercial growth. Bycombining deep expertise with advanced analytics, companies can betterunderstand patient, provider, and payer behavior; optimize market access andpricing strategies; improve launch performance; and design data-drivencommercial models.
That's what Simon-Kucher Elevate is all about.
Our digital consulting team has a dedicatedfocus on commercial growth and helps healthcare and life sciences clientsoptimize the entire commercial and patient journey by combining technology,data, and creativity with deep strategy, pricing, market access, and salesexpertise.
Ready to boost your personal development indata science, analytics, and AI? Looking for an innovative, agile workenvironment where you can apply advanced analytics to complex healthcare andlife sciences challenges? Want to have an impact on leading pharmaceutical,biotech, medtech, payer, provider, and healthcare technology companies? Thenthis is the right place for you. Become a pioneer of data-driven transformationin healthcare and life sciences and join us! 

What makes us special:
  • Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.  
  • Unlock the power of opportunity. Advance your career in a thriving company with a startup feel. We invest in your professional development every step of the way.  
  • Enjoy balance and flexible working. Be empowered to do your best work - whether it's from home or in the office. 
  • Prioritize your health and well-being. No matter where you live, we offer a competitive suite of health benefits to help keep you and your loved ones safe.  
  • Invest in your future. All US and Canadian employees enjoy 401(k) & RRSP benefits with company matching.  
  • Work in a values-driven culture. At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.
How you will create an impact:
  • Represent Simon-Kucher as an individual contributor, delivering high-quality outputs and client-ready deliverables that meet and exceed client expectations.
  • Work in teams across a wide variety of healthcare and life sciences clients, products, and project types, including pharmaceutical, biotech, medtech, payer, provider, healthcare technology, analytics, digital, commercial, market access, medical, and strategy engagements.
  • Analyze and interpret healthcare and life sciences data to support pricing, market access, sales, launch, and commercial strategies; identify opportunities; and develop actionable recommendations linked to revenue growth, market access, patient impact, launch success, and commercial performance.
  • Support data science engagements and analytical workstreams by contributing to high-quality analysis, rigorous methodology, clear documentation, analytical frameworks, financial models, quality assurance, and actionable recommendations.
  • Support AI solution and agent development and implementation strategy, including patient and provider segmentation, next-best-action, forecasting, demand modeling, pricing analytics, promotional effectiveness, and real-world data analytics.
  • Apply theoretical knowledge to develop predictive models using modern statistical, mathematical, machine learning, and artificial intelligence techniques.
  • Conduct predictive analyses by selecting, testing, and applying appropriate modeling methods
  • Support the development of innovative strategies for pricing, marketing, and sales using expertise in machine learning, artificial intelligence, analytics, and healthcare and life sciences industry knowledge.
  • Prepare compelling presentations, reports, and client-ready deliverables that communicate findings and recommendations clearly and impactfully to senior and executive audiences.
  • Participate in client meetings, workshops, discussions, and presentations through exceptional service and effective communication.
  • Support the development of materials for healthcare and life sciences analytics engagements, including research, analysis, pitch materials, and client discussion documents.
  • Stay current with emerging research, market changes, and the latest data trends, while actively engaging in team discussions, workshops, and training sessions.
  • Contribute innovative ideas, creative solutions, healthcare and life sciences analytics offerings, thought leadership, and reusable assets that address client business challenges and capitalize on market opportunities.
  • Collaborate with internal and external business and technology experts from around the world as part of a growing, multicultural team.
  • Engage in workshops and training sessions to enhance consulting and business acumen, technical expertise, healthcare and life sciences knowledge, and understanding of Simon-Kucher methodologies.
  • Contribute to a collaborative and inclusive environment that fosters belonging for all.  
Your profile: 
  • Undergraduate and/or graduate degree from an accredited university or college in economics, computer science, engineering, business, statistics, marketing, finance, math, or related field.
  • 2+ years of relevant full-time work experience in AI, data science, analytics and digital in consulting and/or commercial functions (e.g. pricing, marketing, sales), ideally with exposure in healthcare and life sciences. 
  • Familiar with concepts such as LLM-based workflows, prompt design, tool/function calling, retrieval-augmented generation, workflow orchestration, or AI agent evaluation is a plus.
  • Strong hands-on proficiency in Python and SQL, including data cleaning, exploratory analysis, feature engineering, model development, analysis, and automation.
  • Experience with visualization tools such as Power BI and/or Tableau, relational databases, ETL processes, and data engineering concepts.
  • Strong technical foundation in statistical modeling, machine learning, and predictive modeling, with practical experience selecting, validating, and explaining models for business use cases. 
    Familiar with commonly used modeling techniques such as linear regression, logistic regression, support vector machines, decision trees, random forests, XGBoost, CatBoost, LightGBM, and other, supervised learning approaches.
  • Familiarity with common cloud-based machine learning platforms such as AWS SageMaker, Google Cloud Vertex AI, and Azure Machine Learning.
  • Experience working with healthcare and life sciences data sources such as claims, EHR/EMR, prescription, patient-level, provider, payer, market access, CRM, promotional, real-world data, or clinical data is preferred.
    Familiarity with commercial challenges in healthcare and life sciences, including launch strategy, pricing, access, segmentation, forecasting, promotional effectiveness, patient journeys, and provider engagement.
  • Proven experience analyzing and solving complex business problems using well-developed quantitative, conceptual, and analytical problem-solving skills, with the ability to define clear, actionable recommendations.
    Ability to translate complex analytical outputs into clear, practical recommendations for business, client, and executive audiences.
  • Excellent communication and presentation skills, with fluency in English, both written and verbal, and a client-focused attitude.
  • Proactive, self-motivated, and able to work both independently and collaboratively in a fast-paced environment.
  • Sharp, analytical, and structured problem-solving mindset.
  • Strong collaboration, teamwork, and project management skills.
  • Proficiency in Microsoft Office Suite, including Word, Excel, PowerPoint, and Outlook.
  • Ability to work from the office or client site 2-3 days per week in alignment with the hybrid working model.  

PayTransparency Language:
The pay range for this position in TORONTO is135,000 - 150,000 CAD/year plus potential annual performance-based bonus.Compensation may vary depending on relevant experience, skills, geographiclocation, and business needs. We offer a comprehensive package of benefitsincluding paid time off, 13 paid holidays per year, medical insurance, basiclife insurance, and RRSP to eligible employees.

About Simon-Kucher
Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. As a trusted commercial advisor, we combine deep consulting expertise, growth specialization, and technology to scale impact. We optimize every lever of commercial strategy - product, pricing, innovation, marketing, sales, and digital - based on deep insights into what customers value and are willing to pay for. With over 40 years of experience in monetization, we are regarded as the world's leading commercial growth and pricing specialist. 
Simon-Kucher is an Equal Employment Opportunity ("EEO") employer. Our employment decisions are made without regard to race, color, religion, gender, national origin, age, disability, marital status, veteran or military status, or any other legally protected status.  
We believe in building a culture that embraces belonging, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, great things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone - our people, our clients and, of course, our business. 
Simon-Kucher North America Talent Acquisition Team
simon-kucher.com/careers

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