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updated 4 days ago

Head Of R&D Data Elaboration (Medtech)

Work format
remote (only Europe)
Work type
fulltime
Grade
head
English
b2
Country
France/UK/US +4 more
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR

Head Of R&D Data Elaboration (Medtech): Leading the digital transformation of R&D through computational modelling, data elaboration, and visualization with an accent on transforming complex data into actionable insights. Focus on implementing the digital roadmap, developing advanced analytical models, and managing high-performance computing (HPC) solutions.

Location: Remote across Europe

Company

An international research-focused pharmaceutical and healthcare group with a strong commitment to social and environmental standards, holding B Corp Certification.

What you will do

  • Lead and grow a high-performing team dedicated to data elaboration and visualization.
  • Translate R&D stakeholder needs into effective data solutions and visualization tools.
  • Drive the digital transformation of R&D by contributing to and implementing the digital roadmap.
  • Oversee the entire lifecycle of data models and visualizations from design to deployment and optimization.
  • Manage the R&D data elaboration platform, including High-Performance Computing (HPC) solutions.
  • Forge and manage strategic partnerships with external organizations and universities.

Requirements

  • PhD or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Minimum 5+ years of leadership experience in data elaboration or computational modelling within the pharmaceutical, biotech, or medtech industry.
  • Must be based in Europe to be eligible for remote working opportunities.
  • Strong communication skills for both technical and non-technical audiences.

Nice to have

  • Knowledge of drug development processes and regulatory requirements (GMP, FDA, ICH, EMEA).
  • Proficiency in data visualization tools (Tableau, Power BI) and languages (Python, R, JavaScript, SQL).
  • Experience with big data management, deep learning, and machine learning.
  • Familiarity with Industry 4.0 technologies and R&D simulation/modeling techniques.

Culture & Benefits

  • Dynamic, fast-growing, and friendly environment with a focus on collective well-being.
  • Investment in continuous training, learning, and professional development.
  • Flexible working approach and remote work options to ensure work-life balance.
  • Support in the relocation process and tax assistance for foreign colleagues.

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