At a Glance
- Tasks: Lead and manage clinical data projects, ensuring quality and compliance.
- Company: Dynamic pharmaceutical company focused on innovative clinical solutions.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Join a collaborative team with a focus on continuous improvement and innovation.
- Why this job: Make a real impact in healthcare by leading critical data management initiatives.
- Qualifications: Extensive experience in clinical data management and strong leadership skills.
The predicted salary is between 57704 - 70528 £ per year.
Location: England – Home-based / Remote (Reading-based)
Duration: Full-time contract, 40 hours per week
Contract: 7 months
Right to Work: Must hold valid RTW in England (no sponsorship available)
Role Overview
We are seeking a senior‑level Data Team Lead (DTL) to manage the end‑to‑end delivery of Clinical Data Management (CDM) services across single‑ and multi‑service clinical projects. This role supports a critical client programme and requires a confident leader with strong client‑facing capability and full accountability for delivery, quality, timelines, and financial oversight. The successful candidate will provide strategic and operational leadership across study planning, execution, and close‑out, acting as the primary point of contact for data management deliverables while ensuring regulatory compliance and audit readiness.
Key Responsibilities
- Leadership & Delivery
- Lead end‑to‑end CDM delivery across multiple studies or programmes through the full data management lifecycle
- Act as Data Team Lead (DTL), Program Lead, and/or Subject Matter Expert (SME) as required
- Provide leadership and direction to Data Operations and CDM teams to ensure quality, timelines, and contractual commitments are met
- Serve as the escalation point for unresolved data issues and drive resolution with internal teams, vendors, and stakeholders
- Train, mentor, and coordinate junior DTLs and CDM staff
- Client & Stakeholder Management
- Act as the primary client‑facing contact for all data management deliverables
- Manage ongoing communications, issue escalation, workload planning, and continuous improvement initiatives
- Lead discussions relating to timelines, resourcing, scope, and financial changes
- Maintain strong, professional relationships throughout the project lifecycle
- Data Management & Quality
- Create, review, approve, and maintain Data Management Plans (DMPs)
- Ensure all CDM activities comply with GCP, regulatory guidelines, SOPs, and internal policies
- Maintain audit‑ready documentation and lead responses to audits and inspections
- Implement proactive quality management plans across multiple studies or programmes
- Ensure timely follow‑up and resolution of compliance findings
- Serve as Project Manager for single‑service DM projects when required
- Track timelines, milestones, and deliverables in line with the Statement of Work (SOW)
- Review monthly financial reports and participate in project reviews
- Identify out‑of‑scope activities and manage change orders through to completion
- Support revenue recognition and invoicing activities
- Process Improvement & Strategy
- Identify root causes of delivery or quality issues and implement corrective actions
- Propose improvements to CDM processes, methodologies, and tools
- Participate in or lead global and local best‑practice initiatives
- Support the development and implementation of new DM tools, technologies, or standards
- Contribute to SOPs, work instructions, training workshops, and knowledge‑sharing activities
Qualifications
- Bachelor’s degree (or equivalent) in health, clinical, biological, mathematical sciences, or a related discipline
- Extensive experience leading multiple clinical studies or programmes through the full CDM lifecycle
- Proven senior‑level experience as a Data Team Lead (DTL) or equivalent CDM leadership role
- Strong working knowledge of GCP, regulatory requirements, SOPs, and audit readiness
- Demonstrated client‑facing experience, acting as primary contact for delivery and escalation
- Excellent project management, communication, and stakeholder management skills
- Program‑level leadership or SME responsibility within Clinical Data Management
- Experience implementing new DM tools, technologies, or process improvements
- Experience mentoring or line‑managing junior DTLs or CDM teams
- Exposure to global, multi‑country trials and cross‑functional environments
- Experience presenting at CDM workshops or professional forums
Who This Role Is For
- Senior‑level Clinical Data Management leaders with strong leadership presence
- Confident, client‑facing DTLs able to independently manage delivery, quality, and financials
- Professionals comfortable working across multiple studies or programmes simultaneously
Who This Role Is Not For
- Junior or mid‑level Clinical Data Managers without leadership accountability
- Candidates with only single‑study or task‑based DM experience
- Profiles lacking client‑facing or stakeholder management exposure
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Information Technology
Industries: Pharmaceutical Manufacturing, Medical Practices, and Biotechnology Research
Data Team Lead employer: Unity Systems
Unity Systems is an exceptional employer located in Welwyn, Hertfordshire, offering a dynamic work environment that fosters collaboration and innovation. With a strong focus on employee growth, the company provides ample opportunities for professional development while maintaining a supportive hybrid work model that promotes work-life balance. Joining Unity Systems means being part of a forward-thinking team dedicated to making a meaningful impact in the clinical laboratory sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Team Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Unity Systems, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Unity Systems. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Unity Systems
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Unity Systems!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
