Data Manager

Quotient Sciences; City of Edinburgh; On-site; GBP 42,000 - 64,000; Full time

Job summary

Quotient Sciences in Edinburgh seeks a proficient Data Manager to lead clinical data management activities in early phase studies, ensuring data accuracy, consistency, and regulatory alignment.

You will act as the data management contact for assigned studies, support study setup, coordinate query resolution, and contribute to DM plans, while working in a hybrid model with occasional travel to the Edinburgh site.

Qualifications

• Hands on experience in clinical data management (CRO, pharma or biotech).
• Solid understanding of clinical trial processes and GCP.
• Confident in managing core Data Management tasks independently.

Responsibilities

• Acting as the Data Management contact for assigned studies.
• Supporting study set‑up activities, including reviewing clinical data collection tools.
• Managing ongoing data review and coordinating query resolution.
• Contributing to Data Management Plans and other study-related documents.
• Reviewing clinical data listings for accuracy and completeness.
• Supporting data reconciliation with external vendors (e.g., laboratories).
• Ensuring all Data Management documentation is complete.
• Assisting with key milestones such as interim reviews and database lock.
• Providing informal guidance to junior team members where appropriate.

Skills

Clinical data management

GCP

Independent data tasks

Attention to detail

Communication skills

Problem solving

Job description

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

We are looking for a proficient Data Manager to join our team in Edinburgh. In this role, you will take responsibility for key Clinical Data Management activities within early phase clinical studies, ensuring that trial data is accurate, consistent, and aligned with protocols and regulatory requirements.

Your focus will be on supporting the clinical study team and managing the flow and quality of clinical data throughout the study lifecycle.

This role can be worked remotely, with occasional travel to our Edinburgh site as required, or on a hybrid basis.

What you’ll be doing

• Acting as the Data Management contact for assigned studies
• Supporting study set‑up activities, including reviewing clinical data collection tools
• Managing ongoing data review and coordinating query resolution
• Contributing to Data Management Plans and other study-related documents
• Reviewing clinical data listings for accuracy and completeness
• Supporting data reconciliation with external vendors (e.g., laboratories)
• Ensuring all Data Management documentation is complete
• Assisting with key milestones such as interim reviews and database lock
• Providing informal guidance to junior team members where appropriate

This is a clinical trial data role, not an IT or data engineering position.

Who we’re looking for

• Hands on experience in clinical data management (CRO, pharma or biotech)
• Solid understanding of clinical trial processes and GCP
• Confident in managing core Data Management tasks independently
• Strong organisational skills and attention to detail
• Clear written and verbal communication skills
• Logical, solution-focused approach
• Someone who is looking to progress their career and develop into more senior roles, with access to tailored learning and development opportunities

Eligibility to Work in the UK

Please note that this position is not eligible for sponsorship under the UK points-based immigration system. If you require sponsorship, we will be unable to progress your application or make an offer of employment.

As this is a permanent role, we are also unable to accept applications from candidates on a Graduate Visa.

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.