Chemistry Data Science Intern - Digital CMC Workflows

Location: Kalamazoo - Downtown Portage Street, United States of America

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

Student pursing a Graduate-level degree: $36.40 per hour

Student pursuing a Doctorate-level degree: $40.30 per hour

Full time

Intern (Trainee)

Colleague

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