mRNA Process Development - Scientific Data Transformation Lead
Sanofi
- Waltham, MA
- Permanent
- Full-time
- Work hands-on with 50+ scientists & technicians in specific sites to review and analyze current laboratory operations and data practices and guide them towards a new, impactful way of working.
- Lead the alignment of scientific and data practices across different teams and sites within PD&I, ensuring a harmonized approach towards data management and utilization.
- Collaborate with counterparts in AnSci and R&B departments to drive data process harmonization, and implement standardization initiatives to enhance data quality and accessibility.
- Select and implement suitable tools and technologies to support data analysis and visualization in partnership with Data Continuum leads in Data and Computational Sciences (DCS) department
- Uphold the Findability (F), Accessibility (A), Interoperability (I), and Reusability (R) of data by promoting adequate data infrastructure, tools, and standards such as ontologies and mappings.
- Define Data quality rules at the source system, spearheading improvements identified from the FAIR maturity and Data Quality indicators to bolster data integrity and usability.
- Advise management and data governance lead on improvement opportunities to enhance digital and data services, based on insightful analysis and a deep understanding of digital transformation strategies.
- Communicate and stimulate the use of available services by researchers, fostering a collaborative and data-driven research environment.
- A minimum of 5 years of professional experience within a vaccine, or biopharmaceutical domain focused on CMC process development required
- A minimum of 2 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 required
- Proficient understanding of FAIR data principles, data standards, and digital transformation strategies
- Strong knowledge of biopharmaceutical R&D domain and metadata across Research, CMC, Clinical, Regulatory
- Solid understanding of data management, data analysis, and data pipelines
- Practical experience or knowledge of contextualizing domain data
- Experience in big data infrastructure and data warehouse
- Foster a culture where data is valued and readily accessible for making informed decisions
- Proven skills in leading complex projects in an international environment
- Resourcefulness and ability to initiate, design, and direct creative solutions to problems
- Proven ability to independently drive process harmonization and data standardization
- Inspiring and collaborative leadership style with the ability to motivate and influence others
- Exceptional ability to communicate technical concepts to diverse audiences
- Experienced in working in an agile environment
- BS in life sciences, Engineering, Biotechnology, Chemistry, Computer Science, or equivalent degree required. MS degree is preferred.
- Excellent knowledge of the English language (spoken and written)
- French is a plus