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

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