Use life-science domain knowledge and data science to analyze Veeva and external datasets, build dashboards and pipelines, apply ML/NLP/GenAI, and present insights to senior pharma stakeholders to support R&D and commercial strategies.
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.
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
- 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
Our process is different than most. It is designed to be fast, efficient and respectful. Here are the steps:
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].
Similar Jobs
HR Tech • Information Technology • Professional Services • Sales • Software
Lead UK&I regional marketing programs to drive pipeline and revenue using Account-Based Marketing, field and event marketing, partnership activations, and customer advocacy. Partner with Sales and cross-functional teams to design, execute, measure, and optimize integrated campaigns, manage vendors/partners, and report impact against business objectives.
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Serve as the public-facing Developer Advocate for Agent Studio, creating technical content, running community programs and events, providing hands-on developer support, improving docs and onboarding, and feeding developer insights to Product and Engineering to grow an agentic AI developer ecosystem.
Top Skills:
Agent StudioAi AgentsAPIsAuthenticationClaude CodeIntegrationsLarge Language Models (Llms)Model Context Protocol (Mcp)
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The IT Infrastructure Managed Services Director leads cloud and network architecture solutions, drives business growth, and mentors teams, ensuring exceptional service delivery and client satisfaction.
Top Skills:
Cloud ArchitectureInfrastructure SolutionsNetwork Architecture
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.



