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About the Role
We are a small data science research team focused on building future-ready capabilities and strategic differentiation for PartnerRe’s Life & Health business globally, looking beyond a 2-year horizon. The initial focus is on medical underwriting in life insurance, transforming data and medical research into insights that will shape biometric risk assessment in the coming years.
Responsibilities
- Track emerging trends in medical research, data availability, and relevant technologies to anticipate future business needs.
- Translate ambiguous business questions into well-defined, answerable research questions.
- Prioritize research questions with the greatest potential business impact.
- Analyze data and build models to generate forward-looking insights.
- Evaluate and adapt emerging technical methods to meet PartnerRe’s specific needs.
- Critically appraise medical and health-related research, assessing study design, limitations, and relevance.
- Communicate findings clearly to underwriters, medical doctors, and other non-technical stakeholders.
- Demonstrate strong data analysis and modeling skills, applying sound judgment to real-world issues.
- Engage hands-on with new technical methods relevant to the domain.
- Critically evaluate empirical research, recognizing design weaknesses and correctly interpreting findings.
- Think strategically about value and differentiation, translating trends into future business needs.
- Shape vague business requests into structured, answerable research questions.
- Work directly and effectively with stakeholders, including medical underwriters, physicians, and actuaries.
- Thrive in a research environment with evolving priorities and limited predefined roadmaps.
Requirements
- Bring a health-related research background (e.g., epidemiology, biostatistics, public health, health economics and outcomes research, or clinical epidemiology).
- Demonstrate a genuine interest in medical and health research.
- Prior exposure to life insurance products or medical underwriting processes is a strong asset but not required.
- Experience with R is a plus and may shorten ramp-up time.
- Hold a PhD in a field with a strong empirical, hypothesis-driven research tradition (such as epidemiology, biology, chemistry, or another life or physical science), or possess equivalent demonstrated research experience, evidenced by a substantial independent research project that can be discussed in depth.
Skills
- Data analysis
- Modeling
- R
- Python
Location
- Toronto
Work Type
- Hybrid
Experience Level
- PhD or equivalent research experience
Education Level
- PhD
Salary/Compensations
- CAD $100-150K per year
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Health spending account
- Defined contribution pension plan
- Life insurance
- Short-term disability coverage
- Long-term disability coverage
- Annual incentive program
About the Company
- PartnerRe is a leading, privately owned, multi-line global reinsurer known for financial stability and strength, committed to rebuilding businesses and communities after risk events.
- Our mission is to be a financially stable and predictable business partner, supporting clients with tailored solutions, delivering superior returns, providing rewarding opportunities, and making a positive contribution to society.
- We live by our values of Integrity, Performance, Collaboration, Straightforward Communication, and Respect and Care.
- Our global nature is core to The PartnerRe Experience, fostering connections across locations and organizational levels for mutual success.
- We offer an environment to shape your career, grow, connect with experts, and make an impact.
Equal Opportunity
- PartnerRe is an equal opportunities employer.
- PartnerRe is committed to an inclusive, accessible recruitment experience. Reasonable accommodations for candidates with disabilities are available upon request throughout the hiring process.