mRNA Drug Substance Analytics Co-op Data Visualization

Sanofi

Waltham (MA)

On-site

USD 48,000 - 80,000

Full time

4 days ago

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Job summary

Sanofi in Waltham, MA is seeking a Spring Co-op to join the mRNA Drug Substance Process Characterization Data Analytics and Visualization team. You will develop tools and workflows to analyze, visualize, and streamline analytical data supporting process development.

This hands-on role blends analytical chemistry and data science, with exposure to HPLC, LC-MS, ELISA, qPCR, and electrophoretic methods. You will work with scientists to translate results into actionable insights and help improve

Qualifications

Currently pursuing a Master's or PhD in Biochemistry, Chemical Biology, Analytical Chemistry, Bioengineering, Data Science, or related field.
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa 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 Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.

Responsibilities

Design and implement data analysis and visualization tools for analytical datasets (e.g., HPLC, LC-MS, ELISA, qPCR).
Build automated workflows for data ingestion, cleaning, and transformation from instrument outputs or shared databases.
Develop intuitive data visualization dashboards (e.g. Power BI) for assay output, performance, trends, and control.
Support statistical analysis of assay performance (e.g., accuracy, precision, linearity).
Collaborate with scientists to understand pain points and translate them into practical data-based solutions.
Document tools and workflows for internal use and scalability.