Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website.
Consulting is changing, and we’re not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together.
We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen.
As a Data Scientist in our Analytics Business Consulting practice, you will use your expertise in scientific data and healthcare knowledge to support the creation of meaningful business insights through data analytics, data science, and data visualization; answering critical business questions facing senior executives in global pharma today.
- Analyze data from Veeva Data Cloud and also external data
- Design, build, and maintain visualizations/dashboards/data pipelines to identify relevant data trends
- Leverage machine learning, NLP, GenAI, and other data science techniques to uncover insights
- Clearly and confidently describe the data structure and analytical approach you adopt to solve a specific business question
- Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for pharma to support their R&D, pre-launch, launch, and post-launch strategies
- As required, present your findings and recommendations to senior stakeholders at pharma and justify your findings
- Support innovation and large-scale transformative insights projects
- Experience:
- MD/PhD/MSc with thorough understanding of scientific activities from medical experts (congresses, publications, etc.)
- Experience with data analytics and large/complex datasets
- Analytical Rigor: A strong mindset for both quantitative and qualitative reasoning
- Communication: Ability to articulate complex ideas clearly to senior stakeholders
- Education: Bachelor’s degree or higher
- Experience with business intelligence tools (Tableau, Spotfire, PowerBI, Qlik, etc.)
- Experience with Python, prompt engineering, machine learning, or NLP
- Experience in structuring and successfully executing large and complex insights projects
We value your time and believe in a transparent hiring process. Here is the process you can expect.
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
- Compensation: Highly competitive salary and equity in Veeva
- Growth: Unrivalled career progression in a fast-growing, global team
- Flexibility: Veeva is a Work Anywhere company. You can work from home or the office on any given day
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.