Senior Data Scientist

Discover International; Nice; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading company in the pharmaceutical sector is seeking a highly skilled data analyst to manage and analyze datasets, develop predictive models, and oversee data visualization and reporting. This role requires a strong background in data science with experience in the pharma/biotech industry, along with proficiency in Python, R, and SQL. Candidates should possess excellent communication skills and a deep understanding of drug development processes and regulatory standards. The successful applicant will play a crucial role in aligning data insights with business strategies and market trends.

Qualifications

• 3+ years in pharma/biotech analytics or drug development.
• Expertise in Python, R, SQL, and cheminformatics.
• Familiarity with clinical trials, regulatory processes, and therapeutic areas.

Responsabilités

• Manage and analyze pharmaceutical datasets to identify promising drug candidates.
• Develop machine learning models predicting the success and market potential of assets.
• Work with scientists and executives to align data insights with pipeline strategy.
• Monitor industry trends, identify gaps in therapeutic areas, and suggest partnership or acquisition opportunities.
• Process and analyze data from various sources.
• Develop dashboards and reports to present findings clearly.

Connaissances

Python

R

SQL

Machine Learning

Data Visualization

Cheminformatics

AI Knowledge

Vendor Management

Strategic Insight

Formation

Master’s / PhD in Data Science, Bioinformatics, Computational Biology, or similar

Outils

Tableau

Power BI

Matplotlib

Plotly

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.