Senior Data Scientist

Discover International; Madrid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading company in the pharmaceutical industry is seeking a Data Analyst with expertise in machine learning and data visualization. The role involves analyzing clinical and market data to identify drug candidates and collaborating with teams to influence pipeline strategies. Candidates should have advanced analytical skills, a relevant Master's or PhD, and a history of working in biotech analytics.

Formación

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

Responsabilidades

• Manage and analyze pharmaceutical datasets to identify promising drug candidates.
• Develop predictive models to assess success and market potential.
• Collaborate with scientists to align data insights with strategy.

Conocimientos

Python

R

SQL

Machine Learning

Natural Language Processing

Data Visualization

Analytical Thinking

Strong Communication

Educación

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

Herramientas

Tableau

Power BI

RDKit

Bioconductor

AWS

Azure

GCP

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.