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Full job description
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.
The Role
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.
What You’ll Do
- 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
Requirements
- 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
Nice to Have
- 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
The Process
Our process is different than most. It is designed to be fast, efficient and respectful. Here are the steps:
- You submit your resume, short cover letter of questions, and take a personality assessment
- Within 5-10 business days, we will notify you via email if we would like to go to the next step or not
- The next step is a 45-minute interview with a leader of the practice, followed by a job history interview and case exercise. You will have one week to prepare for the case exercise
- Within one week after the case exercise, we will give you an offer or let you know that we do not wish to move forward
Perks & Benefits
- 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
#RemoteUK
#LI-Associate
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 [email protected].
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.