Data Scientist

TFS HealthScience; Toronto; On-site; CAD 70,000 - 100,000; Full time

Job summary

A mid-size Contract Research Organization is seeking a talented individual to join their analytical team focused on the respiratory therapeutic area, particularly in COPD. The ideal candidate holds a Master's degree in a relevant field and possesses strong skills in SQL, R, and Python. Responsibilities include delivering advanced analyses of healthcare data to support epidemiological studies and collaborating with both internal and external teams. Competitive compensation and opportunities for professional growth are offered.

Benefits

Competitive compensation and benefits package

Professional development opportunities

Collaborative work culture

Qualifications

• Demonstrated experience with large datasets, preferably healthcare data.
• Strong programming skills in R and Python.
• Proven ability to work in cross-functional teams.

Responsibilities

• Deliver and implement advanced secondary analyses of EMR and claims data.
• Provide input on study design and data partner selection.
• Collaborate to evaluate RWD sources for respiratory research.

Skills

SQL

R

Python

Large dataset handling

Cross-functional collaboration

Education

Master’s degree in Statistics, Mathematics, Data Science, or related Life Sciences

Job description

TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) partnering with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise spans full-service solutions, resourcing, and Functional Service Provider (FSP) models.

About this Role
As part of our SRS/FSP team, you will be dedicated to one of our pharmaceutical partners. You will collaborate with their Real World Evidence and Observational Research group to design and implement advanced analyses of healthcare data.

This role is focused on the Respiratory therapeutic area, particularly COPD, with the objective of generating real-world insights that support strategic decision-making and improve patient outcomes.

Key Responsibilities

• Deliver and implement advanced secondary analyses of EMR and claims data to support epidemiological observational studies.
• Provide expert input and recommendations on study design, data partner selection, and Real-World Data (RWD) best practices.
• Collaborate with internal and external teams to evaluate the strengths and limitations of RWD sources for respiratory research.
• Develop, validate, and document analytical methods and models using SQL (required), R, and Python.
• Contribute to study reports, publications, and presentations through high-quality statistical analyses and visualizations.

Qualifications

Required:

• Master’s degree in Statistics, Mathematics, Data Science, or a related Life Sciences discipline.
• Demonstrated experience with large datasets, preferably healthcare data.
• Proficiency in SQL.
• Strong programming skills in R and Python.
• Proven ability to work in cross-functional teams and communicate with both technical and non-technical colleagues.

Nice to Have:

• Hands-on experience with EMR/healthcare data, registries, and/or insurance claims databases
• Familiarity with medical terminologies and clinical data standards (ICD-9/10, SNOMED).
• Knowledge of the OMOP Common Data Model and related tools.
• Prior experience analyzing COPD data.

What We Offer

• Competitive compensation and benefits package.
• Professional development opportunities in an international, collaborative environment.
• A culture that values innovation, teamwork, and making a difference in patients’ lives.

About TFS
Our journey began more than 25 years ago in Lund, Sweden. Today, TFS operates in 17 countries across Europe, North America, Asia-Pacific, and the Middle East, delivering tailored clinical development solutions to our partners.

Our core values — Trust, Quality, Flexibility, and Passion — define who we are and guide how we work. They are the foundation of our culture and our success.

#TogetherWeMakeADifference