Python Engineer - OpenData Clinical
Veeva Systems - Portugal - Lisbon
Posted Sep 23, 2024
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
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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
Python Engineer - OpenData Clinical Portugal - Lisbon 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 OpenData Clinical is the foundation for intelligent clinical operations. Patient recruitment is the biggest challenge in the Clinical Trials industry. Delays in this process postpone the study and, ultimately, delay life-changing treatments for people suffering from health problems. Our goal is to accelerate this process. By identifying which clinical sites perform best, we help bring drugs to market faster. We estimate that OpenData Clinical will save at least one life per year by streamlining Clinical Operations. You will build the backbone of our data quality engine and pipelines. Your work will empower thousands of curators to process massive datasets with speed and
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