Senior Data Scientist

JR Spain; Priego de Córdoba; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Una empresa farmacéutica busca un Data Scientist Lead para gestionar y analizar datos relacionados con el desarrollo de fármacos. El candidato ideal debe tener al menos una maestría o doctorado en campos relacionados y 3+ años de experiencia en análisis en la industria. Las responsabilidades incluyen el desarrollo de modelos predictivos y la colaboración en estrategias de negocio. Se valorará la experiencia con herramientas como Python, R y plataformas de visualización.

Formación

• 3+ años de experiencia en análisis farmacéutico/biotecnológico o desarrollo de fármacos.
• Experiencia con conjuntos de datos farmacéuticos (ej., IQVIA, Clarivate).
• Conocimiento de procesos regulatorios y ensayos clínicos.

Responsabilidades

• Gestionar y analizar conjuntos de datos farmacéuticos para identificar candidatos a fármacos.
• Desarrollar modelos de aprendizaje automático para predecir el éxito y el potencial de mercado de los activos.
• Colaborar con científicos y ejecutivos para alinear los insights de datos con la estrategia del pipeline.

Conocimientos

Python

R

SQL

Machine Learning

Data Visualization

Analytical Thinking

Strong Communication Skills

Teamwork

Educación

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

Herramientas

Tableau

Power BI

RDKit

Bioconductor

Descripción del empleo

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Discover International

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Job Reference:

645219106653890150432460

Job Views:

2

Posted:

23.07.2025

Expiry Date:

06.09.2025

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Job Description:

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.