Senior Risk

Quinten Health; Paris; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Join a forward-thinking company dedicated to maximizing public health impact through evidence-based decision-making. In this role, you will collaborate with data scientists and biostatisticians to generate insights that drive optimal outcomes. Your expertise in biostatistics and statistical programming will be crucial as you tackle meaningful projects with real-world implications. The organization values continuous learning and offers professional growth opportunities, ensuring you thrive in a supportive environment. If you are passionate about making a difference in public health and possess the necessary skills, this opportunity is perfect for you.

Qualifications

• PhD or Master's with 5+ years in industry or public health research.
• Proficient in biostatistics and health economics.

Responsabilités

• Support evidence and data-driven insights for decision making.
• Perform complex statistical analyses and quality checks.

Connaissances

Biostatistics

Statistical Programming

Health Economics

English Fluency

Collaboration

Formation

PhD in Statistics/Economics

Master’s Degree with 5+ years of experience

Outils

Python

R

Description du poste

Your Role

Driving Evidence-Based Decision-Making: In close collaboration with data scientists, biostatisticians, project managers, and biomedical consultants, your role will be to support evidence and data-driven insights generation for optimal decision making and maximal business, medical or public health impact. This includes performing complex statistical analyses and quality checking statistical analyses developed by other statisticians. You will work on meaningful projects with real-world public health impact.

Continuous Learning and Professional Growth Opportunities

1. PhD in statistics / economics or Master’s degree with at least 5 years of successful industry experience and/or public health research experience.
2. Proficient in biostatistics (including continuous, logistic, and survival regression) and health economics (such as cost-effectiveness analysis, decision-analytic models, and Markov models).
3. Excellent working knowledge in statistical programming (Python and/or R).
4. Fluent in English (French is a plus).
5. Bonus: experience working with regulatory agencies.

Application Process

1. Intro call with our HR Manager – to understand your background and expectations.
2. Technical case study with a Senior Biostatistician – to assess your skills and introduce you to our analytical environment and projects.
3. Manager interview – to explore your motivations and share our team vision.
4. Structured onboarding program – including training, project deep-dives, and team integration.

For more information, please contact us.