Clinical Data Scientist

Role overview

This opportunity is posted on behalf of a partner organization that handles the application review and all later steps. The hiring team is seeking a Clinical Data Scientist located in Canada.

In this position, you will help turn complex clinical datasets into insights that improve patient care and advance medical technology. The work sits at the crossroads of data science, clinical research, and device innovation, with a focus on analyzing physiological and hemodynamic information produced by advanced wearable ultrasound technology. You will play an important role in building clinical evidence, validating new use cases, and supporting algorithm development. The role involves close partnership with clinical, engineering, research, and product stakeholders to plan and run studies that contribute to scientific progress and regulatory goals. It is a highly analytical, research-focused environment where your output influences product design, clinical outcomes, publications, and next-generation healthcare solutions.

Key accountabilities

• Work with large, complex clinical and physiological datasets using advanced programming tools, mainly Python or R, to uncover practical insights.
• Help design, run, and lead clinical research studies from data collection through analysis, interpretation, and reporting.
• Partner with clinical science, medical affairs, and research teams to build and test clinical hypotheses.
• Maintain strong data quality, traceability, and version control across studies, including trial master files and databases.
• Carry out biostatistical analyses and explain study findings to support evidence generation and product validation.
• Produce polished scientific materials such as reports, presentations, charts, posters, manuscripts, and grant-related content.
• Read and assess scientific literature to understand clinical relevance, support claims, and spot opportunities for product growth.
• Represent assigned studies, contribute to scientific conferences, and serve as a primary contact for related clinical work.
• Improve clinical protocols, research methods, and operational workflows over time.

Requirements

• A Bachelor’s degree, or a Master’s/PhD, in a quantitative discipline such as statistics, computer science, applied mathematics, biomedical engineering, or a similar field.
• At least 3–5+ years of experience in clinical data science, biostatistics, medical imaging, hemodynamics, or a related biotech/pharma setting.
• Strong hands-on ability in Python, with R accepted as an alternative, for analysis and modeling.
• Deep understanding of biostatistics and experience handling large, complex datasets.
• Background in clinical research, study design, and interpreting scientific outcomes.
• Working knowledge of version control tools such as GitHub.
• A strong publication track record in peer-reviewed journals is considered a major advantage.
• Excellent analytical and problem-solving abilities, with a strong commitment to scientific rigor.
• Clear communication skills and the ability to explain technical findings to both technical and non-technical audiences.

Benefits

• Estimated annual pay of CAD 100,000 to CAD 120,000, based on experience and qualifications.
• Remote-first setup with flexibility across Canada.
• The chance to contribute to advanced medical device innovation that can have real patient impact.
• Exposure to clinical research, biomedical data science, and algorithm development.
• A collaborative setting alongside clinical, engineering, and research specialists.
• Opportunities for professional growth in a fast-moving medtech and clinical science environment.
• Involvement in scientific publications, conferences, and meaningful research initiatives.

Application and hiring process

The partner company manages applications and next steps. Applications are reviewed through an AI-assisted matching process designed to compare candidates against the role’s core requirements. Shortlisted profiles are then passed to the hiring company, which owns final decisions and all interview or assessment steps.

Privacy and AI notice

By applying, you acknowledge that your personal data may be processed to evaluate candidacy and shared with the hiring employer under applicable data protection rules. The recruitment process may also use artificial intelligence tools to help review applications, analyze resumes, or identify inconsistencies, while final hiring decisions remain with human reviewers. You can request more information about data processing if needed.