Biomedical Consultant

Quinten recrute !

À propos

Quinten est une société d’experts de l’Intelligence Artificielle au service de l’efficacité des métiers de l’entreprise. Elle bâtit depuis plus de 16 ans des solutions sur mesure d’aide à la décision tirant parti du plein potentiel des données avec un objectif clair et des bénéfices systématiques pour ses clients.

Quinten se différencie de ses concurrents directs, non seulement par sa longue expérience multisectorielle, en particulier en santé et en Banque/Assurance et ses choix technologiques résolument tournés vers l’augmentation de l’humain, mais aussi par sa capacité à concevoir, développer et industrialiser de véritables solutions d’aide à la décision, dont certaines sont utilisées par des milliers d’utilisateurs

Grâce à une capitalisation interne constante et une R&D à la pointe du marché, Quinten trouve les solutions qui font entrer la donnée dans l'amélioration de la performance qu'attendent ses clients. Enfin c’est une société partenaire stratégique de la transformation numérique de plusieurs entreprises de premier plan.

Descriptif du poste

Quinten Health is recruiting a Biomedical Consultant to join the Healthcare team, working in close collaboration with Data Scientists engineers, Biostatisticians, and Project Managers. You will be supported by Senior Biomedical Consultants.

Your key responsibilities will be:

1) Working in collaboration with the team of data science engineers on delivery projects to:

Assess the fitness of Real-World databases.
Provide clinical and scientific input to support analytical work (e.g. modeling):

Capturing clinical characteristics in real-world databases, including finding proxies for clinical events and/or scores, time windows for data capture
Defining the target study population, outcome of interest, covariates, and confounders
Providing code lists for diagnosis, treatments, procedures, etc…

Structure the data to ensure the quality of the analysis from a medical point of view (e.g. capture and interpret chronic and acute diseases differently).
Develop variable derivation strategies to extract a maximum of information from data (e.g. therapeutic escalation to measure a patient’s severity).
Adapt the analytical strategy to align the results with the medical objectives of the project.
Interpret the output of analyses, assess findings, and provide relevant insights based on existing literature.
Write up results in reports and publications.
Give input on the scientific aspects of projects, coordinating with data scientists, epidemiologists, statisticians, and project managers.
Perform necessary administrative functions and additional tasks, as required.

2) Contributing to the innovation and development activities of the organization to:

Perform literature reviews on a therapeutic area or disease to identify and describe unmet needs, pathophysiology, standard of care tailored to the specific activity.
Assess potential data sources and partnerships to support the development of disease and care models.
Engage with scientific or medical KOLs to provide relevant insights and validation of internally developed disease and care models.
Participate in company-sponsored training programs as required to ensure that skills are learned, maintained, and focused accordingly.

Profil recherché

Preferred education and experience :

Medical, Pharm D degree, PhD or Master’s Degree in life sciences (-omics, physiology, cognitive etc.).
Minimum of one year of relevant professional experience (e.g., in the pharmaceutical industry, medical writing, academic or clinical research, or health-related consulting).
Knowledge on pharmaceutical industry, health regulation, and clinical practices is a must.
Professional proficiency in English, written and spoken is a must.
Ability to work both independently and as part of a team.
Ability to effectively prioritize and manage multiple tasks and projects.
Ability to make decisions and think strategically.

Additional Skills :

Experience in epidemiology is a plus.
Basic knowledge of programming (e.g., R, Python, PySpark) is valued to facilitate dialogue around statistical analyses and the interpretation of tables and figures.
Experience with claims databases or electronic health records (such as SNDS, CPRD, HES, sickness funds data, national or disease registries) is a plus.
Knowledge of statistical and machine-learning methods is a plus.
Experience on the analysis of -omics is a plus (RNA expression, genetic analyses etc.).

Process de recrutement

One meeting with our HR manager
Business case with one of our Project Manager
Meeting with Quinten Health Managing Director

Informations complémentaires

Type de contrat : CDI
Date de début : 01 septembre 2025
Lieu : Paris
Niveau d'études : Bac +5 / Master
Expérience : > 1 an
Télétravail ponctuel autorisé

Postuler