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- Tasks: Lead AI strategy and data science initiatives to drive innovation in biopharmaceutical data management.
- Company: Join a market leader in regulatory-grade data management software for the biopharmaceutical industry.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Shape the future of AI in life sciences while mentoring a talented team.
- Qualifications: Proven experience in AI/data science within pharmaceuticals or healthcare IT is essential.
- Other info: Ideal for those who thrive in fast-paced, entrepreneurial settings.
The predicted salary is between 72000 - 108000 £ per year.
About Us: Our client is a market leader in regulatory-grade data management software and services for the biopharmaceutical industry. Their flagship platform ingests, processes, and analyzes clinical trial data to accelerate FDA submissions.
Position Summary: As Vice President of Data Science & AI, you will lead our organization’s AI strategy and data science initiatives, driving innovation across our platform and services. This executive-level role will shape the vision, roadmap, and execution of AI-driven product development, customer intelligence, and operational efficiency—positioning our client at the forefront of data innovation in life sciences.
Key Responsibilities:
- AI & Product Strategy: Partner with Product, Business Development, and Strategic Partners to deeply understand client use cases and uncover opportunities for AI-driven solutions. Translate business challenges into scalable data models and algorithms across the full data science lifecycle—from data engineering to model deployment. Use customer data to derive behavioral insights and translate findings into product innovation and experience enhancement. Apply advanced statistical methods and machine learning techniques to build high-impact solutions that enhance both clinical and commercial outcomes.
- Product Innovation & Development: Lead the advancement of the platform using AI, data science, and advanced analytics. Design and implement algorithms using large-scale structured and unstructured data sets (e.g., clinical trial data, RWE, regulatory databases). Employ technologies such as SQL, Python, and related tools to develop scalable, production-ready solutions. Oversee a team of data scientists and technical experts to ensure project success and knowledge growth.
- Customer & Market Impact: Implement predictive models and AI capabilities that improve customer targeting, engagement, and satisfaction. Anticipate and proactively address client needs through tailored, data-informed solutions.
- Operational Analytics & Insights: Define, monitor, and report on key performance indicators (KPIs) to assess AI project impact. Quantify the return on investment (ROI) for major AI and data science initiatives to inform executive decisions.
- Leadership & Team Building: Build, lead, and mentor a high-performing data science and AI team with a focus on innovation, collaboration, and excellence. Cultivate a culture of continuous learning, experimentation, and cross-functional alignment. Collaborate with teams across the business to develop descriptive, prescriptive, and predictive analytics that solve complex problems.
- Operational Excellence: Ensure robust data governance, quality, and regulatory compliance across all initiatives. Foster an innovation-first mindset while installing scalable systems and processes to support growth and maturity. Drive organizational transformation by building team capabilities and improving employee engagement scores.
Required Experience & Competencies:
- Domain Expertise: Proven success developing and deploying commercial AI/data science applications in the pharmaceutical, healthcare IT, or life sciences sector.
- Leadership: Experience building teams, mentoring talent, and introducing best practices in environments with low-to-mid process maturity.
- Strategic Execution: Strong ownership mindset, comfortable navigating ambiguity, making data-informed decisions, and executing quickly with limited structure.
- Communication: Clear, confident, and data-driven communicator with experience presenting to executive stakeholders, boards, and cross-functional teams.
- Entrepreneurial Drive: Thrives in fast-paced, PE-backed, growth environments. Demonstrates a bias for action and adaptability typical of early-stage or scaling ventures.
- Cultural Agility: Comfortable leading through organizational change and building capabilities amid shifting priorities.
Vice President of Data Science and AI employer: Grayson Search Partners
Contact Detail:
Grayson Search Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vice President of Data Science and AI
✨Tip Number 1
Network with professionals in the biopharmaceutical and data science sectors. Attend industry conferences, webinars, and meetups to connect with potential colleagues and leaders who can provide insights into the role and company culture.
✨Tip Number 2
Stay updated on the latest trends in AI and data science, particularly within the life sciences field. Familiarise yourself with recent advancements and case studies that demonstrate successful AI applications in clinical trials and regulatory processes.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in building high-performing teams. Be ready to share specific examples of how you've mentored talent and fostered a culture of innovation and collaboration in previous roles.
✨Tip Number 4
Demonstrate your strategic thinking by outlining how you would approach the AI strategy for the company. Think about how you would translate business challenges into actionable data science initiatives and be prepared to discuss this during interviews.
We think you need these skills to ace Vice President of Data Science and AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and AI, particularly in the biopharmaceutical or healthcare sectors. Emphasise leadership roles and any successful projects that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Your cover letter should clearly articulate your vision for AI strategy and data science initiatives. Discuss how your past experiences have prepared you to lead innovation and drive operational excellence in this role.
Showcase Technical Skills: Include specific examples of your proficiency with technologies such as SQL and Python. Highlight any advanced statistical methods or machine learning techniques you've successfully implemented in previous roles.
Demonstrate Leadership Experience: Provide concrete examples of how you've built and mentored high-performing teams. Discuss your approach to fostering a culture of continuous learning and collaboration, which is crucial for this executive-level position.
How to prepare for a job interview at Grayson Search Partners
✨Showcase Your Domain Expertise
Make sure to highlight your experience in developing and deploying AI/data science applications specifically within the pharmaceutical or life sciences sector. Be prepared to discuss specific projects and their impact on business outcomes.
✨Demonstrate Leadership Skills
Discuss your experience in building and mentoring teams, especially in environments with low-to-mid process maturity. Share examples of how you've introduced best practices and fostered a culture of innovation and collaboration.
✨Communicate Effectively
Prepare to present your ideas clearly and confidently, using data to back up your points. Practice articulating complex concepts in a way that is accessible to executive stakeholders and cross-functional teams.
✨Emphasise Strategic Execution
Be ready to discuss how you navigate ambiguity and make data-informed decisions quickly. Provide examples of how you've executed strategies in fast-paced environments, demonstrating your ownership mindset and adaptability.
