Job Description

mRNA Principal Data Scientist, Computational Chemistry - Vaccine

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

At Sanofi, we believe in a world in which no one suffers or dies from vaccine-preventable diseases. We believe the acceleration of innovation with mRNA technology means vaccines for more people faster than before. That’s why we’re looking for bold, optimistic world-changers to join the team at our mRNA Center of Excellence. We’re investing €400m a year into the Center, using it as the foundation to implement integrated end-to-end mRNA vaccine capabilities and research with R&D, digital and CMC teams.

This team brings end to end data integration and advanced analytics to the mRNA CoE. By deploying and exploiting digital solutions to integrate the full data value chain, extracting actionable information for a move to a full data driven strategy and decision-making process, we will increase probability of success and to accelerate mRNA vaccines.

Responsibilities:

• Lead data analysis, ML and molecular modelling efforts for design and optimization of best-in-class mRNA vaccines and therapeutics as part of the Data and Computational Science team in the mRNA CoE.
• Collaborate with stakeholders and other group experts in the development and execution of the scientific strategy and technical solutions to develop best-in-class mRNA vaccines and therapeutics.
• Identify, set strategy and deliver 1 to 2 end to end ML data science projects for design and optimization of mRNA sequences and formulations and predict performance for vaccines and therapeutic applications.
• Act as a scientific expert and partner in the fields of molecular biology/biochemistry/biophysics, chemoinformatics and AI/ML.
• Develop and evaluate computational and statistical methods for data analysis.
• Design, prototype, and validate computational solutions to diverse scientific challenges in the fields of mRNA vaccines and therapeutics.
• Develop, deploy, and assess the results of at-scale models at varying levels of model granularity encompassing heterogeneous preclinical and clinical data.
• Employ machine learning methods such as deep learning, neural networks, reinforcement learning, graphical and generative models to deconvolve high dimensional experimental and in silico modelling results.
• Employ molecular modeling techniques with a focus on molecular physicochemical descriptors, molecular dynamics, QSAR models, and virtual screening for properties prediction, molecular mechanism elucidation, and data-driven design of biomolecular systems.
• Maintain awareness of latest developments in relevant fields, evaluate and apply as warranted.

About you:

• Earned PhD in computational biology/medicinal chemistry or related field with expertise in machine learning, biochemistry, and molecular modeling.
• 3+ years post-doc experience, including project leadership preferentially in industry.
• Deep knowledge and experience in computational methods applied to biology/biophysics/biochemistry scope.
• High proficiency in molecular modeling (chemoinformatics, molecular dynamics and CADD softwares) and machine learning (Deep Learning, Graph Embeddings, Reinforcement and Transfer Learning) and algorithmic analysis of data.
• Practical experience proposing, prototyping, and deploying novel algorithms; developing and validating new models.
• Demonstrated record of transforming algorithms/theory into practical applications delivering robust models that are high performance, interpretable and actionable.
• A creative problem solver, skilled in divergent thinking and turning complex data into actionable insights and knowledge.
• 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 development processes is a plus, especially having domain expertise or familiarity with RNA processes, drug delivery using Lipid Nanoparticles (LNPs), and RNA-centric techniques/methods.
• Fluent in English (French is a plus).

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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