Senior Data Scientist - Medical Underwriting Insights

PartnerRe

Dublin

Ibrido

EUR 100.000 - 150.000

Tempo pieno

4 giorni fa

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Descrizione del lavoro

PartnerRe seeks a Health data science researcher to support medical underwriting on Life & Health business globally. You will turn data and medical research into insights guiding biometric risk assessment over years, liaising with underwriters and medical officers.

The role emphasizes R and Python with a collaborative, evolving agenda. Based in a hybrid setting, you will work with a small research team, advancing future-ready capabilities and strategic differentiation beyond two years, with

Competenze

PhD in epidemiology, biostatistics, health economics, or related field.
Experience in health research and medical underwriting is a strong asset.
Strong ability to translate business questions into research questions.

Mansioni

Track emerging trends in medical research, data availability, and relevant technologies, translating them into a perspective on what the business will need to understand in the coming years, not just today.
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 specific needs.
Read and critically appraise medical and other health-related research, assessing study design, identifying limitations, and determining relevance to our context.
Communicate findings clearly to underwriters, medical doctors, and other non-technical stakeholders.
Demonstrate strong data analysis and modeling skills, including sound judgment on real-world issues such as weak proxies, outcome-entangled variables, and informative missingness.
Engage hands‑on with new technical methods relevant to the domain, rather than simply following developments from a distance.
Critically evaluate empirical research, recognizing design weaknesses and correctly interpreting findings.
Think strategically about value and differentiation, turning observed trends into a clear view of future business needs rather than a collection of technically interesting problems.
Shape vague business requests into structured, answerable research questions.
Work directly and effectively with stakeholders, including medical underwriters, physicians, actuaries, and their managers.
Thrive in a research environment with evolving priorities and limited predefined roadmaps.
Bring a health-related research background (e.g., epidemiology, biostatistics, public health, health economics and outcomes research, or clinical epidemiology), enabling quicker development of medical domain expertise.
Demonstrate a genuine interest in medical and health research, even without prior industry experience.
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, although analytical judgment is valued more highly than proficiency in any specific programming language.
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.