Senior Data Scientist - Life & Health Research (R)

PartnerRe; Toronto; Hybrid; CAD 100.000 - 150.000; Vollzeit

Benefits dieser Stelle

Hybrid work arrangement

Zusammenfassung

PartnerRe is seeking a data science researcher to support Life & Health underwriting with forward-looking risk insights. You will work on medicine-related data, develop models, and translate findings for underwriters and medical staff.

The role blends research with practical risk assessment in a hybrid Toronto setting. The position emphasizes a health research background, strong data analysis, and collaboration with clinicians and actuaries.

Qualifikationen

• PhD in epidemiology or related field is required or demonstrated equivalent research experience.
• Strong background in health data analysis and biostatistics.
• Knowledge of R; Python experience is preferred.

Aufgaben

• Track medical research trends and translate them into business insights for underwriters.
• Formulate clear, answerable research questions from ambiguous business needs.
• Build models to generate forward-looking risk insights for Life & Health portfolios.
• Communicate findings effectively to non-technical stakeholders including underwriters and physicians.
• Evaluate new analytical methods for PartnerRe's specific needs and data context.

Kenntnisse

R

Python

Data science

Biostatistics

Ausbildung

PhD in Epidemiology

Equivalent health research experience

Jobbeschreibung

PartnerRe is seeking a data science researcher to support Life & Health underwriting with forward-looking risk insights. You will work on medicine-related data, develop models, and translate findings for underwriters and medical staff.

The role blends research with practical risk assessment in a hybrid Toronto setting. The position emphasizes a health research background, strong data analysis, and collaboration with clinicians and actuaries.