Scientist, Data Visualization

Johnson & Johnson, S.a.
Madrid, Spain
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Bioinformatics Clinical Trial Management Systems Data Visualization Python (Programming Language) Laboratory Information Management Systems Operational Data Store Power BI Standard Sql SQL Databases Tableau (Software) Data Processing
+7 more
Build Management Information Technology Data Management Spotfire Looker Analytics Data Pipelines GXP

Job description

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine, In this role, you will partner closely with members of Johnson & Johnson Innovative Medicine Data Science organization and other business leaders to implement visualization solutions applying human centered design to build functional products that drive data insights. You will be responsible for the delivery of engaging and innovative data products, such as dashboards, to support our clinical trials by making data and insights more accessible and impactful. You will partner with teams across R&D such as Data Science, Biomarker & Dx Development and Clinical Operations to deliver innovative solutions for study teams’ most impactful questions. Your expertise in data visualization and SQL will enable the delivery of these data products., Data Visualization & Dashboarding

  • Design, develop, and maintain interactive dashboards and reports for R&D operational metrics (e.g., study timelines, resource allocation, portfolio tracking, experiment throughput).
  • Create visual narratives that simplify complex datasets for diverse audiences including scientists, clinicians, and leadership teams.
  • Implement visualization best practices focusing on clarity, usability, and storytelling.

Operational Data Analytics

  • Work closely with R&D, Clinical Operations, and Program Management to identify key performance indicators.
  • Analyze experimental workflows, preclinical and clinical study data, and project pipeline metrics to identify trends and bottlenecks.
  • Collaborate with data engineers and analysts to ensure data pipelines are reliable, automated, and scalable.

Stakeholder Engagement

  • Partner with cross-functional teams (Research, Clinical, Regulatory, and Finance) to understand data needs and deliver tailored visual insights.
  • Present analytical findings and visualization outputs to senior leadership for strategic planning.

Tools & Technologies

  • Build and deploy dashboards using tools such as Tableau, Power BI, or Spotfire (preferred in pharma R&D environments).
  • Use Python, R or SQL for data manipulation and integration.
  • Work with data from LIMS, EDC systems, ELNs, and project management tools., Advanced Analytics, Business Intelligence (BI), Critical Thinking, Data Analysis, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Technologically Savvy, Workflow AnalysisInscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
  • Background in life sciences or pharmaceutical R&D is strongly preferred., + 6 - 8+ years of experience in pharma/biotech R&D or commercial functions, with significant exposure to data management or 4+ years of experience in pharma/biotech R&D or commercial functions with advanced degree.
  • Proficiency in visualization tools (e.g., Tableau, Power BI, Spotfire, Looker).
  • Strong SQL and data wrangling skills; experience with Python or R a plus.
  • Familiarity with data models and systems used in R&D (e.g., LIMS, ELN, CTMS, ERP).
  • Understanding of statistical methods, experimental design, and clinical development processes.
  • Strong communication and storytelling abilities, particularly for non-technical audiences.
  • Excellent problem-solving and critical-thinking skills.
  • Detail-oriented with a focus on data accuracy, integrity, and compliance (GxP awareness a plus).
  • Collaborative team player with the ability to manage multiple projects simultaneously.

Benefits & conditions

Competitive Compensation

About the company

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com, Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Scientist, R&D Data Science Digital Health, Data Visualization - Operations. This position has a primary location of Madrid, Spain This position requires up to 10% travel., Volver a la última búsqueda Trabajos ) Cataluña ) Barcelona ) Senior Scientist, Data Visualization ( volver a la última búsqueda Recibir ofertas similares por correo electrónico No gracias, llévame a la oferta de empleo Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. Inscribirse en esta oferta

Profesiones

  • Técnico
  • Recepciónista
  • Administrador
  • Ventas
  • Enfermero

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.es

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon · LIVE

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

3:13 min

Core components of the internal Optimize ecosystem

Dominik Schneider Dominik Schneider · WWC 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all