Job Specifications
Job Title: Summer or Fall 2026 Co-op_Intern - RNA Machine Learning - Vaccine
Location: Waltham, MA
About The Job
As an RNA Machine Learning Co-op, you will participate in a 6-month project in the areas of cheminformatics, bioinformatics, computational biology, and machine learning to the task of 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 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.
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.
Main 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
Maintain awareness of latest developments in relevant fields, evaluate and apply as warranted
Demonstrate good software engineering practices
Proactively identify, assess, and internalize emerging technologies and methods
About You
Basic Qualifications:
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. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship
Experience in scientific computing (e.g., python, R)
Experience in computational and statistical analysis, quantitative modeling, and machine learning algorithms
Preferred Qualifications
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
Experience with software development good practices (code versioning, testing, etc.)
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
Understanding of vaccine development processes is a plus, as well as familiarity with RNA processes and RNA-centric techniques/methods
Fluent in English
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