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Full Time Biotech Data Science Jobs in Ontario (NOW HIRING)

MBNA

Edinburgh, Leeds, Manchester & Bristol HOURS: Full time (35 hours) WORKING PATTERN: Our work style ... SOC2, SWIFT, SOX). * Contribute to the Data Science Community of Practice, helping shape best ...

Lloyds Banking Group

Edinburgh, Leeds, Manchester & Bristol HOURS: Full time (35 hours) WORKING PATTERN: Our work style ... SOC2, SWIFT, SOX). * Contribute to the Data Science Community of Practice, helping shape best ...

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 ...

New

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 ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

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 ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

United Airlines

Senior Data Scientist

Mississauga, ON · On-site

... of data scientists and engineers to provide valuable direction and make informed decisions ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

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 ...

New

Talencore

CA$40K - CA$50K/yr

... growing agri-biotech company. Employment Type: Permanent Full-Time Location: London, Ontario ... Work with internal scientific and regulatory team members to track submissions, testing ...

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 ...

University of Waterloo

Data Analyst

Waterloo, ON

Job Requisition ID: 2026-02467 Time Type: Full time Employee Group: Staff Job Category: Analytics ... Required Qualifications Education Degree in computer science, statistics, mathematics, data science ...

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All JobsBiotech Data Science JobsFull Time Biotech Data Science JobsFull Time Biotech Data Science Jobs in Ontario

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 Ontario?

The most popular types of Biotech Data Science jobs in Ontario are:

What are popular job titles related to Full Time Biotech Data Science jobs in Ontario?

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

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

The top searched job categories for Full Time Biotech Data Science jobs in Ontario are:

What cities in Ontario are hiring for Full Time Biotech Data Science jobs?

Cities in Ontario with the most Full Time Biotech Data Science job openings:

Full Time Biotech Data Science jobs near you
Infographic showing various Full Time Biotech Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data Scientist

MBNA

Hybrid

Full-time

Retirement

Re-posted 4 days ago

Job description

End Date

Wednesday 16 September 2026

Salary Range

92,701 - 109,060

We support flexible working - click here for more information on flexible working options

Flexible Working Options

Hybrid Working, Job Share

Job Description Summary

.

Job Description

JOB TITLE: Lead Data Scientist

SALARY: 92,701 - 109,060

LOCATION:Edinburgh, Leeds, Manchester & Bristol

HOURS: Full time (35 hours)

WORKING PATTERN:Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

About this opportunity...

At Lloyds Banking Group,we'removing to the next stages of our digital transformation, andit'sour job within the Chief Security Office (CSO) to ensure that we keep our customers,colleaguesand assets safe from threat. The CSO's Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and DataEngineeringfeature teams.

In this role,you'llbe owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced AI and machine learning. This is a rare opportunity to build the future of cybersecurity in one of the UK's most data-rich environments.

About us...

Like the modern Britain we serve,we'reevolving. Investing billions in our people,dataand tech to transform the way we meet the ever-changing needs of our 26 million customers.We'regrowing with purpose. Join us on our journey and you will too...

Whatyou'lldo...

  • Own thedelivery of security outcomes,includingdefiningand evolvingapproaches to anomaly detectionthatbalanceperformance, explainability, and operational risk.

  • Lead a team of Data Scientists

  • Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models.

  • Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP.

  • Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT, SOX).

  • Contribute to the Data Science Community of Practice, helping shape best practices across the organisation.

  • Translate sophisticated data insights into actionable intelligence for collaborators across the Group COO and CSO functions

Whatyou'llneed...

  • Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.

  • Data Engineering - Deepexpertisein Python, ML frameworks (e.g. TensorFlow,PyTorch), and cloud platforms (preferably GCP).

  • Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures.

  • Experience with LLMs and generative AI in production environments is highly desirable.

  • Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations.

  • Excellent communication and customer engagement skills

  • Innovators Mentality - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategiesremainat the forefront of the industry.

It would be great if you also had...

  • Understanding of the emerging threats within Cyber Security

About working for us

Our focus is to ensurewe'reinclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background,identityor culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. Andit'swhy we especially welcome applications from under-represented groups.We'redisability confident. So, ifyou'dlike reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes...

  • A generous pension contribution of up to 15%

  • An annual bonus award, subject to Group performance

  • Share schemes including free shares

  • Benefits you can adapt to your lifestyle, such as discounted shopping

  • 30 days' holiday, with bank holidays on top

  • A range of wellbeing initiatives and generous parental leave policies

Ifyou'reexcited by the thought of becoming part of our team, get in touch.We'dlove to hear from you!

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Apply