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Zoetis Intern

Chemistry Data Science Intern - Digital CMC Workflows

  • Seen live on Zoetis Intern's site yesterday
  • Intern / co-op
Pay
16 an hour (currency not stated)
Location
Kalamazoo - Downtown Portage Street
Open for
13+ days
First seen
Oct 22, 2026
Apply on Zoetis Intern's site (opens in a new tab)

Posting record

No flags

Open 13+ days

The posting's record, oldest first
  1. Zoetis Intern's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Zoetis Intern, so its true age is longer.

Last checked Nov 3, 2026.

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What it asks of you

Must be a current student
“Currently enrolled in a Bachelor’s, Master’s or PhD program in Chemistry, Cheminformatics, Chemical Engineering, Data Science, Computational Chemistry, Analyt” (quoted from the posting)

What the posting discloses

Pay
16 an hour (currency not stated)
If the selected candidate is a student pursuing an Associate-level degree: $16.00 per hour (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

Kalamazoo - Downtown Portage Street

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

Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn , including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com , please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.

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.

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