PAT Intern
Kalamazoo - Downtown Portage Street, United States
Full Time Internship Entry-level / Junior USD 32K - 80K
Zoetis
Zoetis is the largest global animal health company committed to nurturing the world and humankind by advancing care for animals. Learn more.Role Description:
Pharma Process analytical technology (PAT) intern
Location: Kalamazoo, Michigan
Internship Summary:
We are seeking a highly motivated Summer Intern to join our Process Analytical Technology (PAT) team. In this role, you will assist in developing and optimizing analytical techniques that ensure the quality and consistency of our pharmaceutical products. This internship offers a unique opportunity to gain hands-on experience with advanced PAT tools in a regulated environment, focusing on real-time monitoring, quality assessment, and process efficiency in drug manufacturing.
Internship Job Duties:
- Support the development, testing, and validation of PAT methods to ensure product quality and consistency.
- Conduct experiments using PAT tools to analyze formulation components and monitor product consistency.
- Collaborate with cross-functional teams, including formulation and analytical scientists, to refine and document analytical methods.
- Collect, analyze, and interpret data from PAT instruments, and develop models to optimize analytical performance.
- Document procedures and findings, creating technical reports and standard operating procedures (SOPs) to support method validation and regulatory compliance.
- Engage actively in informal networking and mentoring sessions, as well as formal symposiums.
- Present scientific findings and project outcomes at the conclusion of the internship.
Internship Qualifications:
- Currently pursuing a master’s or PhD degree in Chemistry, Analytical Chemistry, Biochemistry, Engineering, Pharmaceutical Sciences, or a related field.
- Strong analytical and problem-solving skills, with a foundation in experimental design and data analysis.
- Familiarity with laboratory techniques; experience with spectroscopic or analytical instruments (e.g., NIR, refractometry) is a plus.
- Familiarity with chemometrics and machine learning techniques, with proficiency in Python or similar programming languages.
- Ability to work collaboratively in a team environment, with strong communication and documentation skills.
- Detail-oriented, with a commitment to quality and regulatory standards in pharmaceutical manufacturing.
- Available for full-time employment for 9–12 weeks during May–August 2025.
- Legally authorized to work in the United States.
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: $20.00 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: $22.00 per hour
Student pursing a Graduate-level degree: $36.40 per hour
Student pursuing a Doctorate-level degree: $40.30 per hour
Full timeRegularColleagueAny unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.Tags: Biochemistry Chemistry Classification Data analysis Engineering Machine Learning Pharma PhD Python Testing
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