Database Management Internship Jobs (NOW HIRING)

States Considered: US-MI

Role Description

Position Responsibilities:

Join the Statistics and Data Management team within Veterinary Medicine Research and Development (VMRD), supporting clinical and laboratory animal studies for global projects. This role will support the organization's transition to a new clinical database management system, including learning new workflows and helping implement consistent, compliant system use. You'll configure study databases, manage users, load and transform data, troubleshoot issues, and support study teams-all within a quality- and compliance-focused environment. The successful applicant embodies Zoetis' Core Beliefs:Our Colleagues Make The Difference, Always Do The Right Thing, Customer Obsessed, Run It Like You Own It, and We Are One Zoetis.

A Typical Day:

You might investigate why samples aren't correctly associated with subjects, provision or update user access for study team members, implement a study-level data ingestion job from a new source into the clinical data management system, or deliver quick-turn support to a study team for data imports and corrections. You'll collaborate closely with statisticians and data managers, learn our SOPs and tools, and progressively take on small automation tasks that improve data quality and team efficiency.

Specific responsibilities may include, but are not limited to:

• Support the organization's adoption of a new clinical database management system by following new work instructions, assisting with testing/validation activities (as assigned), and providing feedback to improve templates and processes.
• Perform user administration tasks such as creating/inactivating user accounts, updating roles, and maintaining access documentation.
• Partner with statisticians and study team members to review protocols and contribute to data capture and storage specifications, ensuring alignment with standards.
• Configure study-specific databases and forms based on approved data capture specifications; configure and test validation checks.
• Implement and maintain study-level data ingestion and transformation jobs with reviews and guidance from senior team members.
• Troubleshoot data issues with study teams through ad-hoc investigations, documenting findings and escalating systemic issues to senior DM staff.
• Adhere to existing SOPs and work instructions; assist in drafting or updating procedural documents and templates under supervision.
• Contribute to automation that improves efficiency and data quality.

Qualifications

Educational Background:

Minimum: Bachelor's degree

Desirable: Master's degree

Desired degree in the following areas:

• Computer Science
• Data Science and/or Data Analytics
• Biostatistics
• Information Management
• Bioinformatics
• Mathematics
• Epidemiology

Work Experience/Skills:

Minimum:

• Up to three years' experience in a technical, data-oriented role (industry, internship, research, or relevant project work).
• Exposure to designing study databases and data capture forms (coursework, internship, or supervised project experience).
• Basic programming in at least one of SAS, SQL, R, or Python.
• Strong organization, attention to detail, and communication skills; able to work independently with guidance and collaborate across study teams.
• Understanding of data quality principles (validation checks, audit trails, traceability) and documentation best practices.
• Well-developed critical thinking skills with the ability to problem-solve and provide solutions to data-focused challenges.
• Proficiency with Microsoft Office; willingness to learn domain-specific tools.

Desirable:

• Up to three years in Pharmaceutical R&D (Human Health or Animal Health) in a clinical data management specialty.
• Previous experience designing databases and forms in electronic data capture and/or clinical data management solutions.
• Intermediate proficiency in one of SAS, SQL, R, or Python for data wrangling and reproducible scripts.
• Exposure to preparing electronic study data packages for regulatory submissions.
• Familiarity with current Good Clinical Practices (GCP) VICH, Good Laboratory Practices (GLP) and regulatory guidelines that are applicable to conduct clinical studies.
• Experience supporting a system implementation or migration (e.g., new platform rollout, validation/UAT support, process documentation).

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