Chemistry Data Science Intern - Digital CMC Workflows

Role Description: CHEMISTRY DATA SCIENCE INTERN - DIGITAL CMC WORKFLOWS Location: Kalamazoo, Michigan Internship Summary: Zoetis VMRD Process Chemistry is seeking a summer intern to help build and test a structured, digital way of managing process chemistry and analytical data. The intern will organize reaction, batch, purity and impurity data from an active development program into a structured CMC data platform, build an impurity-fate case study, and run a head-to-head benchmark against the current workflow. The outcome is an objective, data-backed recommendation on how digital CMC tools should be deployed across the portfolio. Internship Job Duties: • Structure, clean and validate reaction, batch, purity and impurity data from an assigned process chemistry project, applying consistent compound and impurity naming conventions. • Build an impurity-fate and data-retrieval case study in a structured CMC data environment (e.g. Luminata or an equivalent platform), mapping impurity formation, carry-through and purge across the synthetic route. • Design and execute a benchmark comparing defined scientific tasks in the new digital environment against the current workflow, measuring time to correct answer, accuracy, traceability, data completeness and number of systems consulted. • Analyze benchmark results and build a concise KPI scorecard summarizing where structured data delivers measurable gains and where it does not. • Document data standards, assumptions and gaps, and deliver a final presentation with recommendations for broader deployment to Process Chemistry, Analytical and Tech & Digital stakeholders. Internship Qualifications: • Currently enrolled in a Bachelor’s, Master’s or PhD program in Chemistry, Cheminformatics, Chemical Engineering, Data Science, Computational Chemistry, Analytical Chemistry or a closely related field; rising seniors and graduate students preferred. • Demonstrated experience analyzing structured or semi-structured data using Python, R, SQL, Excel or Power BI. No specific language is required - strong, reproducible data handling matters more than a particular toolset. • Sufficient organic chemistry background to correctly interpret reaction schemes, HPLC/chromatographic data and impurity profiles; coursework in organic and analytical chemistry required. • Strong attention to data quality, traceability and reproducibility, with the discipline to document assumptions and flag gaps rather than fill them in. • Clear written and verbal technical communication; able to present findings and defend conclusions to scientists and to non-chemist stakeholders. The following hourly pay rates reflect the anticipated base pay for this position: If the selected candidate is a student pursuing an Associate-level degree: $16.00 per hour If the selected candidate is a student pursuing an Undergraduate-level degree: $22.00 per hour If the selected candidate is a student pursing a Graduate-level degree: $32.50 per hour If the selected candidate is a student pursuing a Doctorate-level degree: $36.00 per hour The following hourly pay rates reflect the anticipated base pay for this position if a selected candidate were to be located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, Washington (Seattle area): Student pursuing an Associate-level degree: $17.00 per hour Student pursuing an Undergraduate-level degree: $24.20 per hour …