Senior Health Data Scientist: Research for Underwriting

PartnerRe; Dublin; Hybrid; EUR 63,000 - 95,000; Full time

Benefits offered by this job

Annual incentive program

Medical insurance

Dental coverage

Vision coverage

Health spending account

Pension plan

Life insurance

Disability insurance

Hybrid work arrangement

Job summary

PartnerRe is seeking a data science researcher to support medical underwriting for Life & Health. You will turn data and medical research into actionable insights, helping underwriters and clinicians assess biometric risk over years ahead.

The role emphasizes collaboration across stakeholders and evolving priorities, with R as a core tool. You will work in a small team focused on future-ready capabilities, potentially expanding into AI or actuarial questions as needed.

Qualifications

• PhD in a quantitative field or equivalent research experience.
• Experience with R is a plus.
• Knowledge of life insurance domain is a plus but not required.
• Ability to translate data into business insights.
• Ability to read and appraise medical literature.

Responsibilities

• Track emerging trends in medical research, data availability, and relevant technologies.
• Turn 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 needs.
• Read and critically appraise medical and health research for relevance.
• Communicate findings clearly to underwriters, physicians, and non-technical stakeholders.
• Demonstrate strong data analysis and modeling skills with real-world judgment.
• Engage hands-on with new techniques relevant to the domain.

Skills

Data analysis

Statistical modeling

Research communication

Collaborative skills

Strategic thinking

Education

PhD in epidemiology, biology, chemistry, or related field

Tools

R

Python

Job description

PartnerRe is seeking a data science researcher to support medical underwriting for Life & Health. You will turn data and medical research into actionable insights, helping underwriters and clinicians assess biometric risk over years ahead.

The role emphasizes collaboration across stakeholders and evolving priorities, with R as a core tool. You will work in a small team focused on future-ready capabilities, potentially expanding into AI or actuarial questions as needed.