Sanofi Group Machine Learning Senior Scientist, Vaccines in Cambridge, Massachusetts
In the race for the future of health – The Sanofi mRNA Center of Excellence
At Sanofi, we believe in a world in which no one suffers or dies from vaccine-preventable diseases. 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 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 new Center, hiring a team of 400 dedicated employees for it and using it as the foundation to implement integrated end-to-end mRNA vaccine capabilities and research with R&D, digital and CMC teams.
Translate Bio, a Sanofi Company is a leading mRNA therapeutics company developing a new class of potentially transformative medicines to treat diseases caused by protein or gene dysfunction. Using our proprietary mRNA therapeutic platform (MRT), we create mRNA that encodes functional proteins. Our mRNA is delivered to the target cell where the cell’s own machinery recognizes it and translates it, restoring or augmenting protein function to treat or prevent disease.
Sanofi Pasteur, Vaccine R&D is strategically developing and deploying state-of-the-art digital strategies/tools to meet Sanofi Pasteur's mission to become the disruptive market leader in vaccines. Vaccine R&D seeks entrepreneurial and forward-thinking individuals to drive the development of Artificial Intelligence (AI) / Machine Learning (ML) / Deep Learning (DL) solutions to improve efficiency and effectiveness across research and development.
S/he will be responsible for applying their deep expertise in the mathematics and theoretical underpinnings of machine learning to propose solutions to diverse scientific challenges in vaccinology. These models will range over a large spectrum of learning problems, such as overcoming covariate shift in biological data and active acquisition of data (including under delayed rewards in reinforcement learning settings). The models will be applied across our vaccine pipeline, from early-stage pre-clinical research through to clinical trials, to provide insight and generate testable hypotheses. In all cases the goal is to build robust intellectual frameworks with practical and immediate impact.
S/he has an advanced mastery of numerical methods in both theory and practice, backed-up by hands-on experience covering advanced algorithms, modeling and simulation, as well as essential scientific programming skills (e.g., Python/R). S/he is expected to have quality formal training in machine learning and experience in industrial settings and be ready to hit the ground running in a fast-paced environment that rewards personal initiative, collaboration, and scientific excellence.
Collaborates with stakeholders and other group experts to translate biological and vaccine development scientific challenges into rigorous quantitative goals
Develops and evaluates computational and statistical methods for data analysis including machine learning model architecture design
Develops, deploys, and assesses the results of at-scale models at varying levels of model granularity encompassing heterogeneous preclinical and clinical data
Employs machine learning methods such as deep learning, neural networks, reinforcement learning, and graphical models to deconvolve high dimensional experimental data and in silico modeling results
Acts as a scientific expert and partner in AI/ML
Maintains a well-documented, reusable codebase, and traceable model history
Maintains awareness of latest developments in relevant fields, evaluates and applies as warranted
Generates IP and participates in the drafting of patent filings
Undergraduate or higher degree in computational sciences, machine learning, or other technical fields with strong expertise in mathematical modelling and applying quantitative analyses
Deep expertise in causal inference and counterfactual thinking/analysis, ML (deep learning, embeddings, reinforcement and transfer learning) and algorithmic analysis of data
Practical experience proposing, prototyping and deploying novel algorithms; developing and validating new models
Ability to process multiple and heterogenous inputs to develop a clear understanding of a problem, issue or potential solution and translate them into practical business opportunities
Excellent analytical and problem solving as well as communication, scientific writing and presentation skills. Ability to develop and present results as visually appealing and understandable stories based on the data
Understanding of drug/vaccine discovery and development processes is a plus, as well as familiarity with RNA biology and RNA-centric techniques/methods
As a healthcare company and a vaccine manufacturer, Sanofi has an important responsibility to protect individual and public health. This position will require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities.
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.
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.