mRNA - Process Modeling Senior Data Scientist - Mechanistic / Hybrid modeling M/F

Contenu de l'offre mRNA - Process Modeling Senior Data Scientist - Mechanistic / Hybrid modeling M/F chez Sanofi

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.

In the race for the future of health – The Sanofi mRNA Center of Excellence (CoE)

At Sanofi, we chase the miracles of science, and we know mRNA has a role to play in the future of health. And while the pandemic has shaken up our industry, creating new opportunities and risks, we believe the acceleration of innovation with mRNA technology means vaccines and treatments for more people faster than before.

That’s why we’re looking for bold, optimistic world-changers to join our mRNA Center of Excellence. We’re investing €400m a year into the new Center, hiring a team of 450 dedicated employees, and focusing on implementing an integrated end-to-end mRNA vaccine capabilities and research with R&D, digital and CMC teams.

Bring your ambition and optimism and join us on our journey to discover and deliver transformative medicine to patients through the advancement of our cutting-edge mRNA technology!

About the Opportunity

As an experienced mRNA Process Data Scientist, you will lead data analysis, ML and modelling efforts for development and manufacturing processes as part of the Data and Computational Science team in the mRNA CoE. This team brings end to end data integration and advanced analytics (pre-clinical, biomarkers, process development, CMC, clinical) in the mRNA CoE. Deploying and exploiting digital solutions (AI/machine learning, data, analytics) to integrate the full data value chain, extracting actionable information for a move to a full data driven strategy and decision-making process, to increase probability of success and to accelerate mRNA vaccines and therapeutics development and launch. In this position, you will work in collaboration with other mRNA CoE platforms scientific and technical experts located in the US and in France, bringing practical knowledge and experience in applying mechanistic/knowledge and data driven models to process development and manufacturing for optimization of mRNA vaccines and therapeutics Drug Substance (DS) and Drug Product (DP) processes.

KEY RESPONSIBILITIES FOR THIS POSITION

In this role you will

Represent the mRNA CoE Data and Computational Science team in platform and project technical teams as subject matter expert and contribute to the overall DS/DP and CMC data strategy You will be responsible for identifying, setting strategy, and delivering for 1 to 2 end to end process modelling projects in process development, CMC, including predictive modelling in the context of mRNA DS/DP processes Partner with chemists, formulators, analysts, engineers, and other scientists across mRNA CoE to rapidly design robust Drug Substance (DS) and Drug Product (DP) processes Bring broad knowledge and expertise in deterministic/mechanistic, statistical and hybrid models for process data hybrid modelling for mRNA Drug Substance and Drug Product development and manufacture Design, develop and validate robust solutions, computational tools, and pipelines in support of data rich, high throughput experimental workflows that support DS and DP process design, optimization, and troubleshooting Maintain a well-documented, reusable codebase, and traceable model history Maintain awareness of latest developments in relevant fields, evaluates and applies as warranted Generate IP and participate in the drafting of patent filings Preparation and publication of scientific papers and congress reports Demonstrate good software engineering practices Proactively identify, assess, and internalize emerging technologies and methods

COMPETENCIES/REQUIREMENTS FOR POSITION

PhD in Chemical, Biochemical or Pharmaceutical Engineering, Process statistics, Physics, or related discipline with focus on computational modelling of biopharmaceutical process and unit operations. 3+ years post-doc experience; preferentially in industry Demonstrated track record developing solutions and delivering insights from using statistical, mechanistic and hybrid modelling for bioprocesses, process monitoring and control Knowledge of Design of Experiments (DoE), Multivariate Analysis, and statistics Expertise in modelling of time series data and/or dynamic process data Practical experience proposing, prototyping, and deploying novel algorithms; developing and validating new models Experience with software development good practices (code versioning, testing, etc.) Strong combination of theoretical knowledge, analytical and critical thinking, and creative problem-solving skills with proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems Good communication scientific writing and presentation skills, ability to simplify complex problems and communicate complex solutions in a simple and effective manner with customer-oriented mindset Good networking skills and fluent interactions with one or more scientific communities Understanding of vaccine development processes is a plus, as well as familiarity with RNA processes and RNA-centric techniques/methods Fluent in English (French is a plus)

#mRNA

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities.