Overview
Quotient Sciences: Molecule to Cure. Fast. 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 Role
The Director, AI Transformation plays a pivotal role in shaping and embedding AI‑enabled solutions across Data Sciences to drive meaningful improvements in efficiency, quality and scalability, while closely aligning with Quotient’s strategic ambitions. Working at the intersection of science, technology and strategy, this role partners closely with engineering, analytics and Data Sciences leaders to turn business priorities into clear AI product roadmaps, accelerate adoption of AI and advanced analytics, and ensure solutions are delivered responsibly, compliantly and with impact.
Main Tasks And Responsibilities
- Assess the current state of Data Sciences capabilities, identifying opportunities and gaps where AI can deliver the greatest value.
- Define and deliver a clear AI product strategy and roadmap for Data Sciences, aligned to organisational goals, scientific needs and market expectations.
- Prioritise AI initiatives across statistics, PK, data management, medical writing and programming, balancing impact, effort and risk.
- Translate user and business needs into clear, actionable product requirements, with defined success measures for each feature or product.
- Be accountable for ensuring AI solutions are appropriate for regulated scientific environments and are interpretable, trusted and credible in the market.
- Lead the full lifecycle of AI products, from ideation and concept through development, launch and continuous optimisation.
- Partner with engineering, analytics and Data Science teams to convert strategy into practical, high‑value AI solutions.
- Maintain momentum by resolving blockers, making informed trade‑offs and keeping delivery on track.
- Drive adoption, change management and long‑term value realisation of AI and advanced analytics across Data Sciences.
- Support the development of AI literacy and confidence across Data Sciences teams.
- Embed strong data governance, ethical AI principles and compliance into all stages of product development and deployment.
- Track product performance, user adoption and business outcomes, using insights to shape ongoing decisions and roadmap evolution.
- Communicate complex technical concepts and product value in clear, practical terms for a broad range of stakeholders.
- Mentor and coach team members, promoting collaboration, innovation and high performance.
- Stay current with emerging developments in Data Sciences, AI, analytics and product management, proactively exploring new approaches to deliver future‑focused, value‑led innovation.
- Build strong relationships with both technical and non‑technical colleagues, simplifying complex ideas where needed.
- Develop a strong understanding of Quotient’s data capture processes and reporting systems, contributing insight to support the evolving AI roadmap.
Qualifications And Experience Required For Competent Performance
- A background in Biometrics or Data Sciences.
- Experience working within regulated scientific environments.
- Proven experience driving change and delivering measurable results.
- Demonstrable product management experience, ideally within AI, data science or analytics‑led environments.
- A strong track record of delivering complex digital or AI solutions from concept through to launch and operational embedment.
- Deep understanding of Data Sciences and Biometrics.
- Strong knowledge of AI and machine learning concepts, data engineering and analytics platforms.
- Experience influencing across teams and stakeholders without direct line management responsibility.
- Familiarity with responsible AI principles, data governance and compliance frameworks.
- Excellent communication, stakeholder engagement and technical mentoring skills.
- Analytical, structured and strategic thinker with strong problem‑solving capability.
- Ability to shape product vision and strategy and adapt communication to different audiences.
- Experience working in GxP, validated or regulated software environments
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.
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