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Waltham, MA

Internship

Onsite

Intern

Sanofi is an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. As an RNA Bioinformatics Intern, you will work on developing and implementing computational solutions for mRNA-based vaccines and therapeutics, collaborating with experts to drive scientific insights and data analytics.

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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
Collaborate internally to develop scientific hypotheses and drive new scientific insights based on computational frameworks
Develop computational pipelines (e.g., with Nextflow, Snakemake, or WDL) for a variety of Research and Development applications, with particular focus on in vitro and in vivo mRNA screening assays; next-generation sequencing (NGS) data and analysis; and the design, assembly, and quality control (QC) of pDNA and mRNA vaccines and therapeutics
Create compelling visual representations of data and analytics results in support of presentation, communication, and decision-making needs for key stakeholders
Provide support for experimental results using data analytic and/or machine learning techniques
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

Qualification

Required

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
Have experience and a basic understanding of different types of NGS assays
Experience with NGS data/statistical analysis, with a preference for topics such as exploratory analysis and -omics data (e.g., ribosome profiling)
Experience with one or more common data analysis and visualization platforms (e.g., R, RShiny, Python/pandas) and bioinformatics packages (Bioconductor, Biopython, etc.)

Preferred

Experience with machine learning, such as development of regression/classification models and deep learning models, is preferred but not required
Familiarity with cloud and parallel computing
Comfortable engaging with stakeholders from a variety of backgrounds and working collaboratively towards a common goal
Adept at communication and adaptation
Willing to train individuals and teams on your areas of expertise and on systems you build
Fluency in English; Fluency in French is a plus