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 $2B 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.
The Role
Veeva Link supports the life sciences industry by building connected data applications to improve research and patient outcomes. It helps professionals find the right people for activities such as clinical trials, education programs, or advisory boards. This streamlined access helps reduce the time-to-market of essential drugs, conduct trials with the most relevant experts in their respective fields, and spread information about new treatments to key people in the life sciences community. You can read more about Veeva Link on our product pages athttps://www.veeva.com/products/veeva-link/.
As a member of our team, you will contribute to creating and maintaining an enterprise data platform that is one of the key elements for data curation at Veeva Link and is deeply connected to the general data platform.
Our mission is to empower and optimize manual data curation by building an intuitive web application with scalable and generic components, enabling thousands of data curators to achieve their throughput, efficiency, and quality goals.
We value end-to-end ownership, rational thinking, and an analytical mindset. You will take responsibility for features and innovation using SOLID and clean software principles, participate in the architectural enhancement process, and ensure the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process.
