Non-Clinical and Diagnostics Statistician Intern

Kalamazoo - Downtown Portage Street

 

Role Description:

 

NON-CLINICAL AND DIAGNOSTICS STATISTICIAN INTERN

Location: Kalamazoo, Michigan

 

Internship Summary:

We are seeking a motivated Non-Clinical and Diagnostics Statistician Intern to join our animal health organization for a summer internship. In this role, you will work closely with and shadow full-time statisticians, gaining practical experience in the application of statistical methods to product development, manufacturing, and analytical activities.  A focused independent project may also be available, providing the opportunity to work as an independent statistician and potentially develop a poster presentation.

 

This internship is designed for a PhD student who is interested in learning how statisticians support science-based decision-making in a regulated animal health environment. You will have the opportunity to contribute to projects involving design of experiments, specification setting, acceptance criteria, statistical analysis, and data visualization while developing an understanding of how statistical thinking supports CMC programs.

 

Internship Job Duties:

• Support the planning and evaluation of designed experiments, including identifying factors, responses, and appropriate experimental designs.
• Assist with the analysis and visualization of experimental, process, and analytical data.
• Learn how statistical principles are applied to establish product and process specifications and acceptance criteria.
• Help interpret study results and communicate statistical conclusions to technical project teams.
• Participate in project meetings and gain exposure to interactions among statistics, analytical development, manufacturing, quality, and other CMC functions.

 

Internship Qualifications:

·         Currently enrolled in a PhD program in statistics, biostatistics, applied statistics, or a related quantitative field.

·         Coursework or practical experience in experimental design, regression, analysis of variance, or related statistical methods.

·         Interest in applying statistics to pharmaceutical, biologics, veterinary medicine, animal health, or another life sciences setting.

·         Ability to work on-site and collaborate effectively with a cross-functional team.

 

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.