mRNA Scientific Data Transformation Lead, Process Development

mRNA Scientific Data Transformation Lead, Process Development


Marcy-l'Étoile, France

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. Join our CMC Process Development & Industrialization (PD&I) department in mRNA Centre of Excellence as mRNA Scientific Data Transformation Lead, Process Development and you’ll work closely with PD&I scientists, empowering them to transform their process development data practices from custom and isolated tools to a harmonized, interconnected data ecosystem to enable a full data-driven strategy to unlock mRNA promises.

Main responsibilities

  • Work hands-on scientists & technicians to guide them towards a new, impactful way of working;
  • Lead the alignment of scientific and data practices across PD&I to ensure a harmonized approach towards data management and utilization;
  • Collaborate with different departments to drive data process harmonization, implement standardization initiatives to enhance data quality and accessibility;
  • Select and implement suitable tools and technologies to support data analysis and visualization;
  • Promote adequate data infrastructure, tools, and standards;
  • Define Data quality rules at the source system, spearhead improvements to bolster data integrity and usability;
  • Lead the implementation and monitoring of best practices and Standard Operating Procedures;
  • Advise on improvement opportunities to enhance digital and data services, using digital transformation strategies.

About you

  • Several years of professional experience within a vaccine, or biopharmaceutical domain focused on CMC process development;
  • A few years of experience in handling large sets of data generated across the value chain of product development and commercialization, performing advanced data analysis, leading digital transformation, or a similar role, within the biopharmaceutical industry;
  • Proficient understanding of FAIR data principles, data standards, data management, data analysis, data pipelines and digital transformation strategies;
  • Strong knowledge of biopharmaceutical R&D domain and metadata across Research, CMC, Clinical, Regulatory;
  • Foster a culture where data is valued and readily accessible for making informed decisions and proven skills in leading complex projects in an international environment;
  • BS in life sciences, Engineering, Biotechnology, Chemistry, Computer Science, or equivalent degree;
  • Verbal and written fluency in English. French will be a plus.

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