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Contract Science Jobs in Toronto, ON (NOW HIRING)

Sr. Data Scientist Toronto, Canada 18 months contract We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science ...

This is a 16 month contract role Role Summary Within Sun Life, theData and Analytics COEcomprisedof ... Data Science and Machine Learning * Translate business goals into analytical problems;

Delinea Engineer (Contract)

Toronto, ON · Remote

CA$50 - CA$58/hr

Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, or ... This is a 6 month, full-time contract role, working 40 hours a week. At KeyData Cyber, we are ...

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Please note - this is a 12-month contract opportunity* The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced ...

Apply today and join the company that is Leading with Science. Your Role: We are currently seeking a Fire Protection Engineer for our Pickering, ON office. This posting is for a new contract (1 year ...

Apply today and join the company that is Leading with Science. Your Role: We are currently seeking a Fire Protection Engineer for our Pickering, ON office. This posting is for a new contract (1 year ...

Showing results 21-40

Contract Science information

What is contract science?

Contract science refers to scientific research or services that are provided on a contractual basis, often by independent scientists, research firms, or specialized laboratories. These services can include conducting experiments, data analysis, product testing, or regulatory compliance studies for clients such as private companies, government agencies, or academic institutions. The goal is to deliver high-quality scientific results tailored to the specific needs of the client, usually within a set timeframe and budget. Contract science allows organizations to leverage specialized expertise and facilities without maintaining them in-house.

What are the key skills and qualifications needed to thrive as a contract scientist, and why are they important?

To thrive as a Contract Scientist, you need a strong background in scientific research, data analysis, and subject-specific expertise, typically supported by at least a bachelor’s or master’s degree in a relevant field. Familiarity with laboratory information management systems (LIMS), statistical software, and relevant regulatory guidelines is essential. Excellent communication, adaptability, and project management skills help you navigate client relationships and shifting project requirements. These competencies ensure high-quality deliverables, regulatory compliance, and effective collaboration in a fast-paced, client-driven environment.

What are some common challenges faced by professionals in contract science, and how can they be addressed?

Professionals in Contract Science often encounter challenges such as managing multiple projects with tight deadlines, adapting to diverse client requirements, and maintaining clear communication across interdisciplinary teams. To address these, effective time management, staying organized with project tracking tools, and fostering transparent communication are essential. Building strong relationships with clients and colleagues, as well as continuously updating technical knowledge, can also help ensure project success and professional growth.

What is the difference between Contract Science vs Contract Pharmacist?

AspectContract ScienceContract Pharmacist
Required CredentialsBachelor's or Master's in Science, relevant certificationsPharmacy degree, state licensure, pharmacist license
Work EnvironmentLaboratories, research settings, clinical trialsPharmacy settings, hospitals, retail pharmacies
Employer & Industry UsagePharmaceutical companies, biotech firms, research institutionsHospitals, retail chains, healthcare providers

Contract Science professionals focus on research, data analysis, and scientific support within the pharmaceutical and biotech industries. In contrast, Contract Pharmacists primarily work in pharmacy settings, dispensing medications and providing patient care. While both roles may involve contractual work, their work environments, credentials, and industry applications differ significantly.

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

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

What are popular job titles related to Contract Science jobs in Toronto, ON?

For Contract Science jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Contract Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 20% Part Time, and 4% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

Contractor

Posted 7 days ago


Job description

Sr. Data Scientist

Toronto, Canada

18 months contract

We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains.

Responsibilities:

  • Lead data science projects focused on cyber analytics and fraud detection that will guide strategic decisions and uncover optimization opportunities.
  • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services.
  • Identify compromised payment accounts through internal and external data feeds, scanning for anomalies in payments at merchant locations, tracking common points of purchase for compromised cards, and assessing additional data sources for value-add.
  • Collaborate with cross-functional teams including product, engineering, and operations to deliver scalable solutions.
  • Translate clients and stakeholder needs into technical analyses and/or solutions. Communicate results and business impacts of insight initiatives to senior leadership and stakeholders.

Requirement:

  • Experienced in building machine learning models in Python and working with large-scale distributed data processing frameworks, such as Apache Spark and Hadoop.
  • Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis.
  • Experience with cloud platforms, such as AWS, is a plus.
  • Familiarity with the payment card industry, fraud, and cyber security.
  • Familiarity with web crawling and scraping using Playwright or other frameworks would be a nice-to-have.
  • Excellent communication, good presentation skills. Able to partner with a diverse set of stakeholders, from product to engineering to marketing and legal. Incisive understanding of customer needs.