Senior Director, Data Sciences

Quotient Sciences is a leading drug development and manufacturing accelerator, helping biotech and pharma companies bring new medicines to patients faster. With over 35 years of experience and a track record of success, we provide Drug Product (CDMO) and Clinical (CRO) services across the entire development pathway, including formulation development, clinical pharmacology, clinical trials, and commercial product manufacturing.

Our proprietary and disruptive platform – “Translational Pharmaceutics®” – integrates Drug Product Manufacturing and Clinical Testing to eliminate silos in the drug development process. This in turn reduces costs, improves outcomes, and significantly accelerates drug development times.

Why Join Us

Because every day counts when bringing new medicines to patients. Our 1,000+ experts across the US, UK, and beyond are united by science, agility, and a culture that turns ideas into impact—fast.

The Senior Director, Data Sciences is responsible for defining, developing, and delivering Data Sciences services for our Nottingham, Miami and partner sites. A core part of this role will be embedding AI-enabled solutions, tools and capabilities that materially improve efficiency, quality and scalability.

This role will take P&L accountability for Data Sciences and have line management responsibility for biostatistics, statistical programming, database programming, data management, pharmacokinetics and medical writing

The role will drive AI adoption by partnering with engineering, analytics and clinical/scientific stakeholders to translate business process/strategy into actionable product roadmaps, drive adoption of AI and advanced analytics, and ensure compliant responsible AI practice.

Qualifications And Experience Required For Competent Performance

• A strong background in Biometrics/Data Sciences with experience in one or more function.
• Proven experience leading teams, functions, or complex cross-functional delivery within Data Sciences
• Experience in CRO and/or pharmaceutical environments, with understanding of clinical trial data and delivery models
• Experience of operating in regulated scientific environments
• Experience applying AI, advanced analytics, or automation within Biometrics environments, OR a strong understanding of how these can be embedded into clinical and biometrics workflows
• Familiarity with responsible AI practices, data governance, and compliance frameworks.
• Excellent communication, stakeholder management, and technical mentoring skills.
• Experience with GxP, validation or regulated software environments.

• 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.

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.