Project Manager- Clinical Data Management
Veeva Systems - Pennsylvania - Radnor
Posted Apr 7, 2021
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Project Manager- Clinical Data Management Pennsylvania - Radnor Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva's Vault CDMS platform will truly change how the industry runs clinical trials and we want you on our team! Veeva Systems is looking for a Biometrics Project Manager who has deep customer focus and a passion for helping customers transform the way they manage their clinical trial processes, data, and content within our CDB product. Veeva CDB is a clinical data platform that aggregates and harmonizes all data sources to provide our customers with clean, well-organized data that is ready-to-use faster. Gone are the days of complex integrations that limit clinical data availability, now research teams can make faster and more
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