Main tasks and responsibilities:

• Provide leadership and guidance across Data Sciences (Biometrics) functions
• Support development of the target operating model for Data Sciences
• Ensure alignment across: Biostatistics, Statistical Programming, Database Programming, Data Management, PK/Pharmacometrics and Medical Writing
• Contribute to talent development, capability building, and succession planning
• Act as a senior link between strategy and operational delivery
• Assess current state of Data Sciences and capability gaps.
• Define and deliver the AI-enabled transformation roadmap for Data Sciences, aligning with organisational and scientific goals and market needs.
• Effectively prioritise AI product development use cases based on business value, impact, effort and risk across statistics, PK, data management, medical writing and programming.
• Lead the end-to-end lifecycle of AI products within Data Sciences, from ideation and requirements gathering to development, launch, and ongoing optimisation.
• Partner with engineering, analytics, and Data Science teams to translate business strategy into actionable product features and solutions.
• Help build AI literacy and confidence across Data Sciences
• Ensure data governance, model compliance, and ethical use of AI are embedded into product development and deployment.
• Monitor product performance, user adoption, and the realisation of business impact, using data-driven insights to inform product decisions and roadmap.
• Communicate complex technical concepts and product value to stakeholders in clear, actionable terms.
• Mentor and coach team members, fostering a collaborative, high-performance culture.
• Stay updated with the latest advancements in Data Sciences, AI, data analytics, and product management, conducting research to explore new methodologies and applications to maximise forward-looking, value-led innovation.

Application Requirements:

When applying for a position with Quotient Sciences to be able to work in our organization you must be aged 18 years or over and not have been debarred by the FDA. If you indicate you are under the age of 18 or have been debarred then your application will be automatically declined.

Our Commitment to Diversity, Equity and Inclusion:

Quotient Sciences are advocates for positive change and conscious inclusion. We strive to create a diverse Quotient workforce and develop a workplace culture that provides a sense of acceptance for every person within our organization. As a global employer, we recognize the value in having an organization that is a true reflection and representation of our society today.

Specifically we will not discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws.

This applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination.

Our Approach to AI in Recruitment:

At Quotient Sciences, we use technology, including AI-enabled tools, to support parts of our recruitment process and help create an efficient, consistent, and inclusive candidate experience. Any use of AI is subject to human oversight, and hiring decisions are made by people, not technology.

While we embrace innovation, our recruitment process remains deeply human. Candidates who progress through our recruitment process are supported by a dedicated recruitment contact, and many of our selection processes include in-person interviews. We believe the best hiring decisions come from real conversations, giving candidates the opportunity to meet future colleagues, experience our culture and showcase their strengths beyond their application.

We recognize that candidates may choose to use AI tools when preparing applications. We encourage the responsible use of technology to support research, preparation, and drafting. However, applications should reflect your own skills, experiences, and perspectives. Throughout the recruitment process, we assess authenticity, critical thinking, technical capability, and the unique contribution you can bring to Quotient Sciences. Content generated entirely by AI may not provide an accurate representation of your suitability for the role.