Developing and implementing first-in-class and best-in-class computational solutions and models for screening, optimizing and evaluating RNA molecules for mRNA-based vaccines and therapeutics at Sanofi
Requirements
- Experience in scientific computing (e.g., python, R)
- Experience in computational and statistical analysis, quantitative modeling, and machine learning algorithms
- Practical experience proposing, prototyping, and deploying novel algorithms; developing and validating new models
- Experience with software development good practices (code versioning, testing, etc.)
- Understanding of vaccine development processes is a plus, as well as familiarity with RNA processes and RNA-centric techniques/methods
- Fluent in English
Responsibilities
- Collaborate with group experts in the development and execution of the scientific strategy and technical solutions to develop best-in-class mRNA vaccines and therapeutics
- Execute development of a project to deliver data and computational solutions for the integration of chemical, structural, and biological data to support data analytics and visualization
- Design, develop, and validate robust analytical and machine learning approaches to support in silico characterization, screening, optimization, and analysis of mRNA molecules
- Collaborate internally to develop scientific hypotheses and drive new scientific insights based on computational frameworks
- 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 modeling results
- Maintain a well-documented, reusable codebase, and traceable model history
Other
- Currently enrolled and pursuing a master’s degree or, PhD in Bioinformatics, Computational Biology, Computer science, or related quantitative disciplines at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028
- Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship
- Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future
- Good communication, scientific writing, and presentation skills; ability to simplify complex problems and communicate complex solutions in a simple and effective manner
- A creative problem solver, skilled in divergent thinking and turning complex data into actionable insights and knowledge
