Medical Data & Insights Consultant

Quinten Health; Paris; On-site; EUR 65,000 - 95,000; Full time

Job summary

Quinten Health recherche un consultant Data Médicale et Insights pour rejoindre son équipe Santé à Paris. Vous travaillerez avec les Data Scientists, Biostatisticiens et Chefs de Projet, encadré par deux consultants seniors, sur des projets basés sur des données réelles et des analyses cliniques de haut niveau.

Le poste implique l'identification de facteurs de risque, le ciblage de sous-groupes et la communication des résultats sous forme d'insights et de publications scientifiques.

Qualifications

• Diplôme médical ou équivalent et expérience en recherche clinique ou données réelles.
• Connaissance des bases de données pharmaceutiques et de projets RWE.
• Aptitude à communiquer des résultats scientifiques à des clients.

Responsibilities

• Collaborer avec l'équipe data science pour évaluer les bases de données réelles.
• Fournir input clinique et scientifique pour les analyses et les modèles.
• Élaborer et interpréter des propositions d’études, covariables et résultats.
• Rédiger des rapports et publications scientifiques et communiquer les résultats.
• Interagir avec clients et senior staff pour définir les besoins stratégiques.

Skills

RWE / real-world data

Data modeling

Clinical research

Team collaboration

English proficiency

Education

PhD in life sciences

Master’s in life sciences

Pharm D / MD degree

Medical degree

Job description

Descriptif du poste

Quinten Health is recruiting a Medical Data and Insights Consultant to join the Healthcare team, working in close collaboration with Data Scientists, Biostatisticians, and Project Managers. You will be supported by two senior medical data and insights consultants.

You Might Be Involved In a Project Such As

• Identify risk factors of disease progression to personalize treatment pathways;
• Identify sub-groups of patients who are better responders to a treatment;
• Predict long-term risk of exacerbation to anticipate the design of trials;
• Simulate long-term treatment effect scenario to bridge efficacy to effectiveness.

Your Key Responsibilities Will Be

• Working in collaboration with the team of data science engineers 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 reports and scientific publications to communicate study results,
• Give input on the scientific aspects of projects, coordinating with data scientists, epidemiologists, statisticians, and project managers.

Performs Necessary Administrative Functions And Additional Tasks, As Required.

• Supporting the Project Managers in the engagement of customers to:
• Provide pharmaceutical competitive intelligence and portfolio screening to support project business strategy,
• Engage with clients, with senior staff involvement for understanding the strategic needs of the client and translating them into actionable solutions.
• 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 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.).

Déroulement des entretiens

• A meeting with HR manager.
• A business case and a meeting with a manager.
• A meeting with Quinten Health Director.

Quinten Health recruits based on skills, qualifications, and motivation. All applications are considered fairly and evaluated on an equal basis. If you require any accommodation during the application or interview process, please let us know. We are committed to providing the support needed to ensure an accessible and inclusive recruitment experience

Qui sont-ils ?

Quinten Health, headquartered in Paris, France, is a spin-off from Quinten, the French pioneer in artificial intelligence and interpretable data science applied to healthcare since 2008.

Quinten Health is a team of 30+ healthcare data scientists, predictive and statistical modelers, biostatisticians, Medical Data and Insights consultants, and public health experts specialized in Real-World Data, who have delivered over 400 projects so far.

Quinten Health provides healthcare stakeholders (industry, hospitals, and regulatory agencies) with AI/ML solutions for precision care. We are accelerating our growth and focusing on building reference disease and care models to transform decision making in the healthcare ecosystem.