Senior Data Scientist

Discover International; Bordeaux; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

Une entreprise spécialisée dans l'analyse de données recherche un analyste de données pour gérer et analyser des ensembles de données pharmaceutiques. Le candidat idéal aura un Master ou un PhD en science des données, 3 ans d'expérience en bioinformatique ou développement de médicaments, et maîtrise des outils comme Python, R et SQL. Les responsabilités incluent le développement de modèles prédictifs et la collaboration avec des équipes scientifiques. Offrant un salaire compétitif, ce rôle propose une opportunité pour contribuer à l'innovation dans le secteur pharmaceutique.

Qualifications

• 3+ years in pharma / biotech analytics or drug development.
• Familiarity with clinical trials, regulatory processes, and therapeutic areas.
• Strong communication skills to translate technical findings to business strategy.

Responsabilités

• Manage and analyze pharmaceutical datasets to identify promising drug candidates.
• Develop machine learning models predicting success and market potential.
• Monitor industry trends and suggest partnership or acquisition opportunities.

Connaissances

Python

R

SQL

Machine Learning

Data Visualization

AI Expertise

Formation

Master’s / PhD in Data Science

Outils

Tableau

Power BI

AWS

Azure

GCP

Description du poste

• Data Analysis : Manage and analyze pharmaceutical datasets (clinical trials, patents, research, market data) to identify promising drug candidates.
• Predictive Modeling : Develop or collaborate with vendors to create machine learning models predicting the success and market potential of assets.
• Collaboration : Work with scientists and executives to align data insights with pipeline strategy.
• Competitive Insights : Monitor industry trends, identify gaps in therapeutic areas, and suggest partnership or acquisition opportunities.
• Data Sourcing & Cleaning : Process and analyze data from various sources (FDA, EMA, PubMed, pharma databases).
• Visualization & Reporting : Develop dashboards and reports to present findings clearly.

Key Skills :

• Technical : Proficient in Python, R, SQL, and machine learning for predictive analytics and natural language processing (NLP).
• Pharma Tools : Familiarity with pharma databases and cheminformatics tools (e.g., RDKit, Bioconductor).
• Data Visualization : Skilled in tools like Tableau, Power BI, Matplotlib, Plotly.
• AI Expertise : Knowledge in AI for drug development is a plus.
• Vendor Management : Ability to oversee and manage vendors and suppliers.
• Strategic Insight : Understanding of data science trends and their application in pharma.

Domain Knowledge :

• Therapeutics : Knowledge of disease biology, drug mechanisms, and pharmacokinetics.
• Regulatory : Familiarity with FDA / EMA approval processes and clinical trials.
• Business Acumen : Understanding of pharma M&A trends and partnerships.

Soft Skills :

• Strong communication skills to translate technical findings to business strategy.
• Analytical thinking and problem-solving in uncertain data scenarios.
• Team-oriented and motivated to contribute in a biotech environment.

Requirements :

• Education : Master’s / PhD in Data Science, Bioinformatics, Computational Biology, or similar.
• Experience : 3+ years in pharma / biotech analytics or drug development.
• Technical Proficiency : Expertise in Python, R, SQL, and cheminformatics.
• Domain Knowledge : Familiarity with clinical trials, regulatory processes, and therapeutic areas.

Preferred Qualifications :

• Experience with pharma datasets (e.g., IQVIA, Clarivate).
• Knowledge of emerging trends like AI-driven drug discovery.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Ongoing commitment to professional development.