Medical Data & Insights Consultant

Join Quinten Health as a Medical Data and Insights Consultant. In this role, you will collaborate with data scientists, biostatisticians, and project managers to analyze real-world data, identify disease progression risk factors, and contribute to the development of innovative healthcare solutions. You will also engage with clients to understand their strategic needs and support the organization's innovation and development activities.

• Collaborer avec une équipe d'ingénieurs en science des données pour évaluer l'adéquation des bases de données du monde réel et fournir des conseils cliniques et scientifiques pour soutenir le travail analytique.
• Soutenir les chefs de projet dans l'engagement des clients en fournissant des informations sur la concurrence pharmaceutique et en engageant des discussions avec les clients pour comprendre leurs besoins stratégiques.
• Contribuer aux activités d'innovation et de développement de l'organisation en effectuant des revues de littérature sur un domaine thérapeutique ou une maladie pour identifier et décrire les besoins non satisfaits.

**Preferred education and required experience**

• Medical, Pharm D degree, PhD or Master’s Degree in life sciences (pharmacology, physiology, cognitive etc.),
• First working experience (excluding internship and/or apprenticeship) on relevant professional area (e.g., in the pharmaceutical industry, medical writing, academic or clinical research, or health-related consulting or real-world evidence (RWE) projects)
• Knowledge of pharmaceutical industry, healthcare regulation, clinical development processes, and medical practice,
• Client-facing mindset with good communication; ability to lead discussions and act as a subject matter expert in interactions with clients,
• Experience contributing to clinical research projects, including clinical trials, observational studies, cohort studies, baseline assessments, and study design activities,
• Professional proficiency in English, written and spoken,
• Ability to work effectively both independently and as part of a team.
• Strong organizational skills, with the ability to prioritize and manage multiple tasks and projects,
• Ability to make decisions and think strategically,
• Experience with claims databases or electronic health records (such as SNDS, CPRD, HES, sickness funds data, national or disease registries).

**Additional skills that would be a “plus”:**

• Experience in epidemiology,
• Basic knowledge of programming (e.g., R, Python, PySpark) is valued to facilitate dialogue around statistical analyses and the interpretation of tables and figures,
• Knowledge of statistical and machine-learning methods,
• Experience in the analysis of -omics (RNA expression, genetic analyses, etc.).