Scientific Data Transformation Lead - Accelerate Discovery

Sanofi believe that Data Analytics and Artificial intelligence (AI) can transform how we discover, develop, and deliver therapies. To achieve this vision, we need to establish a common data continuum ecosystem across diverse teams, including Research & Biomarkers (R&B), Process Development & Industrialization, Analytical Sciences, Clinical, Manufacturing, and various internal/external sites. To achieve this vision, mRNA CoE is looking for data scientists who will be embedded in labs and will work closely with the scientists in the mRNA Sciences, Delivery, Chemistry, Discovery Biology and Biomarker teams.

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 mRNA Sciences, Delivery, Chemistry, Discovery Biology and Biomarker teams as Scientific Data Transformation Lead and in this role you will:

Lead by example:
Foster a culture of collaboration and data ownership among scientists and engineers.

Break down silos:
Design and implement data pipelines to seamlessly connect diverse data sources.

Champion data hygiene:
Drive the adoption of best practices for data quality and integrity.

Enable data access:
Streamline data access and retrieval processes for all stakeholders.

Build bridges:
Collaborate effectively within groups Research and Biomarkers and with counterparts in PD&I, Analytical Sciences, Data and Computational Science (DCS) departments.

Main Responsibilities:

Towards Integrated workflows & Data collection

• Work hands-on with R&B Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working.

• Work hands-on with R&B users to build automated data workflows where not available (new technologies) and trouble shoot workflows where necessary

• In association with data continuum and digital team ensure proper functioning of data collection process, integration, software and Internet applications.

• Design, develop, and modify data infrastructure and templates to help scientist accelerate the processes of data analysis and reporting.

• Organize appropriate data collection and raw data processing methods at various users/experimental read outs across R&B teams leading to harmonized data management and utilization.

• Develop and maintain data ingestion methods for benchling including legacy and current data. Deploy simplification and or automation tools

Towards Data management & Continuum

• Create and implement digital tracking of test articles and study status for screening of novel LNPs – Inventory of registered samples and studies

• Support R&B scientists to organize and ingest unstructured data.

• Collaborate with Data Science to maintain data management plans for all critical data related to test articles at R&B – Dashboards, meta data etc.

• Ensure scientists at R&B have visibility and access to dashboards and meta data

• Assess system performance and make recommendations for hardware, software, and data storage improvements for R&B

About you

Knowledge &

Skills:

• Ph.D. in Bioinformatics, Data Science or related field with at least 1 year of industry or post-doctoral experience OR Master’s degree plus 3 years.

• Hands on basic IT environment and script programming for automated tools in data acquisition, integration, cleaning, and data management.

• Experience of programing with C#, C++, R or Python. (Thorough understanding of management and data administration duties such as collection, analysis, and distribution

• In-depth understanding of modern database and information technologies and ability to organize large volumes of data

• Ability to develop tools to interface with electronic lab notebook Benchling/iLab

• Ability to develop, evaluate, and implement workflows for technology, optimize and standardized existing techniques and workflows with respect to experimental HT mRNA generation process workflow including DNA & IVT-RNA production, LNP formulation and in vitro/in vivo screening is desired

• Understanding of nucleic acids DNA/RNA analytical performance assessment tools: PCR, Cloning/plasmid…