mRNA – Senior Data Scientist, Research Statistics M/F

Key Skills

Python Programming, English Proficiency, Machine learning techniques, Data science techniques, Data Mining, Data Analytics, R Programming, Statistics, Data Modelling, Large scale data processing, Analytical Techniques, Multivariate analysis, French language, Theoretical knowledge

Job Description

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 Research Data Scientist, you will lead data analysis and modeling efforts for pre-clinical and translational data in the mRNA vaccine and therapeutic domains 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, 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 experts located in the US and in France, bringing practical knowledge and experience in applying statistical and computational methods to pre-clinical and translational research data for understanding and optimizing mRNA vaccines and therapeutics. We look for data scientists/statisticians with breadth of knowledge and experience delivering insights from data through statistical data analysis, machine learning, simulation & modeling and data visualization.

KEY RESPONSIBILITIES FOR POSITION

In this role you will

• Represent the mRNA CoE Data and Computational Science team in platform and project teams as subject matter expert and contribute to the Research data strategy
• Design, develop and validate robust solutions and pipelines leveraging bioinformatics, statistical models, multivariate analysis etc. for pre-clinical and translational data
• Perform exploratory data analysis, hypothesis generation and validation through data integration, advanced analytics, and visualization of mRNA vaccine design parameters, high dimensional immunological, -omics and pre-clinical and clinical data (e.g., immunogenicity, reactogenicity)
• Explore and analyse proprietary and public data for mRNA vaccines mode of action understanding and optimization, biomarkers; generate hypotheses for additional testing
• Collaborate with scientific partners to advise on study design, readout selection and data formats, data analysis and modelling to generate actionable, reproducible, and interpretable insights
• Bring broad knowledge and expertise in statistics, data science, machine learning and modelling to project and mRNA platform teams
• Preparation and publication of scientific papers and congress reports
• Demonstrate good software engineering practices
• Proactively identify, assess, and internalize emerging technologies and methods
• Generate IP and participates in the drafting of patent filings

COMPETENCIES/REQUIREMENTS FOR POSITION

About you

• PhD in Bio-statistics, Bioinformatics, Data and Computer Sciences or equivalent
• Skills to collect, integrate, mine and analyse complex biological data and translate them into testable hypotheses. Demonstrated track record including publications developing solutions and delivering insights from data using multivariate analysis, statistical modelling and bioinformatic methodologies in one or more of the following areas
• data mining, multivariate statistics and machine for biomarkers discovery and validation
• data modelling for individual and integrated analysis of multi-omics and novel immune assays (e.g., high dimensional flow cytometry, systems serology), high-dimensional readouts
• Strong programming (R and Python), data analytics and modelling skills with experience developing data visualization solutions, process & workflow automation and deploying solutions to the cloud
• Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems
• Strong combination of theoretical knowledge, analytical and critical thinking, and creative problem-solving skills. Solid understanding of statistical methods relevant to large scale analysis of biological data sets
• Good communication scientific writing and presentation skills, ability to simplify complex problems and communicate complex solutions in a simple and effective manner
• Good networking skills and fluent interactions with one or more scientific communities
• Understanding of vaccine discovery and development processes is a plus, as well as familiarity with RNA biology and RNA-centric techniques/methods
• Fluent in English (French is a plus)