Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.
About the role
- Clinical Data Engineer joining a team focused on developing innovative medical devices. Supporting clinical research studies and data analysis to improve patient outcomes.
Responsibilities
- Strong programming skills (Python - preferred, R) to optimize software product capabilities.
- Demonstrate experience working with large, complex datasets to solve exciting analysis problems.
- Provide data science leadership for evidence generation (i.e. handling, biostatistics, interpretation).
- Work closely with clinical science and medical affairs directors to create, confirm and validate clinical hypotheses.
- Partake in designing and leading clinical research studies from data generation, data analysis, outlining manuscript, and follow-up process.
- Lead, review and evaluate clinical research results in scientific literature to determine continued clinical relevance of products and/or potential for claim extension.
- Overview maintenance of trial master files and databases and data version control.
- Implementing protocols, studies and operational processes.
- Preparing project materials using various software programs to generate high quality reports, presentations, figures for grants, posters, manuscripts.
- Attend key medical and scientific congresses and trade association meetings.
- Serving as the primary contact for assigned studies.
- Reviewing and revising protocols as appropriate and elevate status/priority to relevant stakeholders.
Requirements
- Bachelor’s degree in quantitative discipline (e.g. statistics, computer science, applied mathematics, or similar)
- 5+ years medical imaging/hemodynamics experience OR higher-level graduate degree with 3+ years of medical imaging/hemodynamics experience OR experience in biotech/pharmaceuticals industries
- Strong biostatistics experience
- Evidence of strong peer-reviewed publication record
- Proficient in Python
- Experience with version control (GitHub).
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior AI Data Scientist leading complex analytical and predictive AI workstreams at Valtech. Collaborating with teams to deliver actionable insights for high - value business problems.
Lead Data Scientist responsible for designing and deploying Generative AI solutions. Collaborating closely with clients and mentoring teams in analytics consulting at Tiger Analytics.
Delivery manager leading the end - to - end execution of complex data and analytics programs at Ness. Building client relationships and driving best practices for scalable data solutions in the digital economy.
Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Manager leading data initiatives for Treasury and Finance at TD. Collaborating with stakeholders for high - quality reporting and analytics.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.
Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.