Senior Data Scientist

Discover International; Bilbao; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in the pharmaceutical sector seeks a Data Analyst to manage and analyze diverse datasets for drug candidates. The ideal candidate will have strong skills in Python, R, and SQL, alongside relevant experience in pharma analytics. Responsibilities include predictive modeling and collaboration with key stakeholders to align insights with strategic goals. This is an excellent opportunity for professionals passionate about data science and drug development in a biotech setting.

Formación

• 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.

Responsabilidades

• Manage and analyze pharmaceutical datasets to identify promising drug candidates.
• Develop or collaborate on machine learning models for predicting asset potential.
• Develop dashboards and reports to present findings clearly.

Conocimientos

Python

R

SQL

Machine Learning

NLP

Data Visualization

Vendor Management

Strategic Insight

Educación

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

Herramientas

Tableau

Power BI

RDKit

Bioconductor

Descripción del empleo

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.