Chemistry Data Science Intern - Digital CMC Workflows

Zoetis; Kalamazoo (MI); On-site; USD 33,000 - 75,000; Full time

Job summary

Zoetis seeks a Chemistry Data Science Intern for the VMRD Process Chemistry team in Kalamazoo, MI. You will organize and validate structured chemical data, create a KPI-focused impurity-case study, and benchmark new digital CMC tools against the current workflow.

Applicants should be enrolled in a relevant Bachelor’s, Master’s or PhD program with strong data skills in Python, R, SQL, Excel or Power BI. This on-site internship emphasizes data quality and clear technical communication.

Qualifications

• Enrolled in a bachelor’s, master’s or PhD program in Chemistry or related field; rising seniors preferred.
• Experience analyzing structured data with Python, R, SQL, Excel or Power BI.
• Strong data handling, traceability and reproducibility; no specific language required.
• Good understanding of organic/analytical chemistry to interpret HPLC/ impurity data.

Responsibilities

• Structure, clean and validate reaction, batch, purity and impurity data from a project.
• Build an impurity-fate and data-retrieval case study in a structured CMC data environment.
• Design and execute a benchmark comparing new digital tools to current workflow.
• Analyze benchmark results and summarize KPI gains and gaps.
• Document data standards and present final recommendations to stakeholders.

Skills

Python

R

SQL

Excel

Power BI

Education

Bachelor’s/Master’s/PhD in Chemistry or related field

Tools

Luminata

Job description

Role Description: CHEMISTRY DATA SCIENCE INTERN - DIGITAL CMC WORKFLOWS

Kalamazoo - Downtown Portage Street

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.

Hourly Pay Rates (Base):

• 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

Hourly Pay Rates (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

EEO Statement:

Zoetis is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Company Culture:

At Zoetis, our purpose is to nurture our world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. We know our people drive our success. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues’ careers, connection and support. We offer competitive healthcare and retirement savings benefits, along with an array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources.