Senior Data Scientist

Discover International; Córdoba; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A pharmaceutical analytics firm is looking for a Data Scientist Lead in Córdoba, Spain. You will manage and analyze datasets to identify promising drug candidates and develop predictive models. Ideal candidates have a Master's or PhD and experience in pharma/biotech analytics. Strong proficiency in Python, R, and SQL is essential. This role involves strategic collaboration with scientists and executives, making it crucial to have strong communication skills.

Formación

• 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.

Responsabilidades

• Manage and analyze pharmaceutical datasets to identify promising drug candidates.
• Develop or collaborate with vendors to create machine learning models.
• Work with scientists and executives to align insights with strategy.

Conocimientos

Python

R

SQL

Machine learning

Data Visualization tools (Tableau, Power BI)

Cheminformatics

AI for drug development

Educación

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

Herramientas

RDKit

Bioconductor

Descripción del empleo

Job Title : Data Scientist Lead

Responsibilities :

• 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.