Senior Data Scientist

Discover International; Marseille; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A leading pharma consultancy in Marseille seeks a Data Analyst to manage and analyze datasets for drug development. Candidates should have a Master's/PhD in Data Science, with 3+ years of experience in pharma analytics. The role involves developing predictive models and collaborating with scientists. Proficiency in Python, R, and SQL is essential, along with knowledge of regulatory processes and therapeutic areas. Competitive salary and opportunities for professional growth included.

Qualifications

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

Responsabilités

• Manage and analyze pharmaceutical datasets.
• Develop predictive models and machine learning applications.
• Collaboration with scientists to align insights with strategy.

Connaissances

Proficient in Python

Proficient in R

SQL expertise

Machine learning knowledge

Data visualization skills

Pharma tools knowledge

Formation

Master’s / PhD in Data Science

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.