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- Tasks: Lead AI analytics products for medical use, collaborating with teams to develop strategies.
- Company: ViiV Healthcare is dedicated to eradicating HIV/AIDS through innovative medicines.
- Benefits: Join a diverse team focused on impactful work in global health.
- Why this job: Make a real difference in healthcare while developing cutting-edge AI solutions.
- Qualifications: Master’s in STEM, experience in advanced analytics, and strong communication skills required.
- Other info: Remote work options available; apply by 17th July 2025.
The predicted salary is between 54000 - 84000 £ per year.
Join to apply for the Data Science Manager – Medical role at GSK
Site Name: UK – London – New Oxford Street
Posted Date: Jul 3 2025
ViiV Healthcare is committed to leaving no person living with HIV behind. We develop innovative HIV medicines to address unmet medical needs. If you are a data scientist inspired to make a difference, read on…
As part of our growth and Data & Analytics transformation, ViiV is investing in advanced analytics capabilities. The Medical + Cx – Data Science Manager will lead AI and GenAI analytics products focused on Medical use cases, including congress content generation and AI-enabled CX strategies. You will also support other cross-functional AI initiatives.
Key Responsibilities
- Lead the strategy and enablement of AI products for medical and CX use cases.
- Collaborate with senior leaders and cross-functional teams to understand challenges and develop AI strategies and roadmaps.
- Facilitate workshops and sessions to align on business needs and develop implementation plans.
- Operate as analytics lead for products like congress content generation, working with global and regional teams.
- Collaborate with technical teams to improve product delivery.
- Lead a team of data science resources within GSK offshore teams.
- Design data science and AI models.
- Ensure solutions align with business impact and governance policies.
- Communicate complex findings effectively to stakeholders.
- Continuously learn new skills and participate in tech communities.
- Partner across organizations to develop data architecture and AI solutions.
Qualifications & Skills
- Master’s Degree in STEM or related field.
- Experience with Advanced Analytics, Generative AI, and statistics in a medical environment.
- Proficiency in Python, data visualization, and analytics tools.
- Strong stakeholder management and communication skills.
- Knowledge of data science fundamentals and data visualization libraries.
- Discretion handling sensitive information.
Preferred Qualifications
- Experience in healthcare or pharmaceutical industry.
- Knowledge of healthcare data landscape and Azure stack.
- Experience with medical workflows and product ownership.
Why ViiV?
ViiV Healthcare focuses solely on HIV, aiming to eradicate HIV/AIDS. We are committed to inclusive, diverse, and impactful work, offering a unique environment to make a difference in global health.
Application Details
Closing date: Thursday 17th July 2025. Please include a cover letter or CV demonstrating your fit for the role.
ViiV is an Equal Opportunity Employer. We value diversity and inclusion.
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Data Science Manager - Medical employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - Medical
✨Tip Number 1
Familiarise yourself with the latest trends in AI and Generative AI, especially as they relate to the medical field. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the healthcare and pharmaceutical industries. Attend relevant conferences or webinars where you can meet potential colleagues and learn about their experiences, which could give you insights into the company culture at ViiV Healthcare.
✨Tip Number 3
Prepare to discuss specific examples of how you've led data science projects in the past. Highlight your experience with advanced analytics and how it has positively impacted business outcomes, as this will demonstrate your capability to lead similar initiatives at ViiV.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex data science concepts in simple terms. This is crucial for the role, as you'll need to convey findings effectively to stakeholders who may not have a technical background.
We think you need these skills to ace Data Science Manager - Medical
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in medical or healthcare settings. Emphasise your proficiency in Python and any advanced analytics projects you've led.
Craft a Compelling Cover Letter: In your cover letter, express your passion for making a difference in the healthcare sector. Discuss how your skills align with the responsibilities of the Data Science Manager role and mention specific examples of your past work that demonstrate your capabilities.
Highlight Leadership Experience: Since the role involves leading a team, be sure to showcase any previous leadership roles or experiences where you successfully managed projects or teams. This will help demonstrate your ability to lead and collaborate effectively.
Showcase Communication Skills: Given the importance of stakeholder management in this role, include examples of how you've communicated complex data findings to non-technical audiences. This could be through presentations, reports, or workshops you've facilitated.
How to prepare for a job interview at Gsk
✨Understand the Company’s Mission
Before your interview, make sure you’re familiar with ViiV Healthcare's commitment to HIV treatment. Being able to articulate how your skills and experiences align with their mission will show your genuine interest in the role.
✨Showcase Your Technical Skills
Prepare to discuss your experience with advanced analytics, Generative AI, and Python. Be ready to provide specific examples of projects where you've successfully applied these skills, especially in a medical context.
✨Demonstrate Stakeholder Management
Since the role involves collaboration with senior leaders and cross-functional teams, be prepared to share examples of how you've effectively managed stakeholders in previous roles. Highlight your communication strategies and how you’ve aligned teams on business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you might face in leading AI products for medical use cases and how you would approach them, including facilitating workshops and developing implementation plans.
