Senior Epidemiologist

We have an exciting opportunity for a Senior Epidemiologist to play a pivotal role in shaping the future of cancer care in Alberta through data-driven insights. At Cancer Care Alberta, our goal is to be a leader in cancer diagnosis, treatment, survivorship, and palliative care, all on a foundation of world-class analytics. Situated within Cancer Advanced Analytics, Cancer Research & Analytics, Precision Analytics is a multidisciplinary team of passionate experts in epidemiology, biostatistics, and machine learning, who are dedicated to advancing healthcare through data. We are committed to expanding our capacity to apply advanced analytics to high-priority projects, with the ultimate aim of ensuring timely access to care for our patients. You will work collaboratively within a dynamic team, applying your advanced epidemiological knowledge to design robust study protocols and ensure the validity of our work. Your work will translate complex healthcare challenges into actionable analytic solutions, making a tangible impact on patients' lives.

As a Senior Epidemiologist at Cancer Care Alberta, you will be a crucial member of the Precision Analytics team, working under the guidance of the Program Lead. You will contribute to large-scale applied analytics projects that address critical issues in cancer care. The role requires a multidisciplinary approach, utilizing your advanced scientific expertise in epidemiology and biostatistics to expand our capacity to apply cutting-edge analytic techniques. Your work will ultimately generate evidence and tools for more efficient operational planning, ensuring that cancer patients have timely access to care at Cancer Care Alberta. You will work independently, and in concert with the Program Lead, to design and implement the epidemiology components of Precision Analytics projects. In collaboration with other scientists on the team, the Senior Epidemiologist interprets stakeholder needs, and translates them into well-defined analytic objectives. You are responsible for developing study designs and sampling strategies that account for data limitations. You will apply your comprehensive understanding of bias and confounding to select input data for machine learning (ML) or traditional statistical models, to ensure the validity of the work produced, and to maintain ethical standards of data use for ML. Leveraging your robust foundation in biostatistics, you will apply advanced analytical techniques to non-ML components of Precision Analytics projects, and interpret complex results to draw valid and actionable conclusions. The Senior Epidemiologist stays up to date with the latest advancements in epidemiology, integrating cutting-edge technologies and best practices into our work, and encouraging team growth through mentorship and training materials. This is a 1-year position (hybrid, pending internal policy changes) with possibility of extension.

Completion of PhD in Epidemiology or related discipline. Minimum of 3-5 years as an epidemiologist or related experience. Minimum of 3-5 years of experience working with health system data 3-5 years experience using statistical software packages (Python, R). Strong understanding of statistical and epidemiologic data analysis. Experience with statistical analyses of complex and large datasets including advanced modeling. Proficiency in English, with excellent written and verbal communication skills. Ability to understand epidemiological issues and communicate effectively with a variety of people with different skills and expertise. Demonstrated ability to foster relationships and partnerships with internal and external stakeholders. Must abide by the highest standards of confidentiality. Strong project management skills and demonstrated ability to lead a team; demonstrated expertise in negotiation, facilitation, and conflict resolution.

Strong organizational skills and time-management skills. Ability to work independently and as a member of a team.

3-5 years experience working with cancer data. Understanding of ML concepts (non-technical or technical)