Biomedical Consultant

Quinten Health; Paris; Sur place; EUR 40 000 - 70 000; Plein temps

Résumé du poste

A healthcare consulting company is seeking a Biomedical Consultant to join their team in Paris. The successful candidate will work closely with data scientists and project managers, providing clinical insights, conducting literature reviews, and contributing to innovative development activities. This role requires a life sciences degree and at least one year of relevant professional experience. Proficiency in English is essential.

Qualifications

• Minimum of one year relevant professional experience in the pharmaceutical industry or health-related consulting.
• Knowledge of pharmaceutical industry, health regulation, and clinical practices is a must.
• Professional proficiency in English, both written and spoken.

Responsabilités

• Collaborate with data science team on delivery projects.
• Assess the fitness of Real-World databases.
• Provide insights based on existing literature.

Connaissances

Clinical and scientific input

Literature reviews

Prioritization and project management

Collaborative teamwork

Statistical analysis understanding

Formation

Medical or Pharm D degree

PhD or Master's Degree in life sciences

Outils

R

Python

PySpark

Description du poste

Overview

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.

Responsibilities

• Your key responsibilities will be :
• 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.

• 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.

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.).