Senior Clinical Data Manager (all genders)

Merck KGaA, Darmstadt, Germany
Feltham
1 year ago
Applications closed

Related Jobs

View all jobs

Key Account Manager

Solution Architect (we have office locations in Cambridge, Leeds and London)

Director, Clinical Operations Lead

Physiologist

Senior Director, Head of Global Case Management

Senior Process Quality Excellence Specialist

A great opportunity has opened within the Data Monitoring, Management and Innovation department to further strengthen our Clinical Data Management team.As a Senior Clinical Data Manager, you will play a crucial role in managing and overseeing clinical data management activities within the organization. You will be responsible for ensuring the integrity, accuracy, and completeness of clinical trial data, while also coordinating a team of clinical data management professionals in a matrix setting. Your roleAccountable for all Clinical Data Management related deliverables in assigned global (Phase I-IIIb) trials of varying complexityDefine and execute risk-based data collection, cleaning and quality assurance strategies for eCRF and external data (including coding) Ensure the accuracy, integrity, and completeness of clinical trial data through comprehensive data review and validation activitiesRepresent Clinical Data Management within the Core Trial Team and serve as key point of contact for the Data Management related tasks in a trial/project/programEnsure quality of clinical database/deliverables (incl. eCRF and external data) as well as submission readiness of the clinical data management deliverables and data packages (e.g. CDISC)Provide project management for all clinical data management related deliverables e.g. planning timelines and resources, risk identification and management, status tracking, internal and external stakeholder management etc Manage and oversee CRO and vendor performance, including participation in selection/assessment and budget management as required, for assigned trial(s)Contribute to the development and maintenance of data management SOPs, work instructions, and best practices. Who you areBachelor's or Master's degree in a scientific or technical discipline, preferably in life sciences, data management, or a related fieldMinimum of 8 years of experience in clinical data management within the pharmaceutical, biotechnology, or healthcare industryCommitted to continuous personal and professional development, and bringing external insights to the role to drive innovation and process improvementDemonstrated ability to lead and oversee end-to-end data management activities within a clinical trial, as well as leading and coordinating global teams in a matrix organizationStrong project management, communication, collaboration, and problem-solving skillsAbility to work proactively and independently on assigned tasks or projects of varying complexity Proficiency in data management systems and tools, including strong knowledge of regulatory requirements, industry standards, and best practices related to clinical data managementExperience with clinical trial data standards, such as CDISC, is preferredEnglish fluent

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for Biotech Jobs: The Only Topics You Actually Need (& How to Learn Them)

Biotechnology is packed with data. Whether you are applying for roles in drug discovery, clinical research, bioprocessing, diagnostics, genomics or regulated manufacturing, you will meet numbers every day: assay readouts, QC trends, dose response curves, sequencing counts, clinical endpoints, stability profiles, validation reports & risk assessments. If you are a UK job seeker moving into biotech from another sector or you are a student in biology, biochemistry, biomedical science, pharmacy, chemistry, engineering or computer science, it is normal to worry you “do not have the maths”. What biotech roles do need is confidence with a small set of practical topics that show up again & again. This guide focuses on the only maths most biotech job adverts quietly assume: • Biostatistics basics for experiments, evidence & decision making • Probability for variability, uncertainty & risk • Linear algebra essentials for omics, PCA & modelling workflows • Calculus basics for kinetics, rates & dose response intuition • Simple optimisation for curve fitting, process set points & model tuning

Neurodiversity in Biotech Careers: Turning Different Thinking into a Superpower

Biotechnology is all about solving complex problems that affect real lives – from new medicines & vaccines to sustainable materials, diagnostics & gene therapies. To tackle those challenges, the sector needs people who think differently. That is exactly where neurodivergent talent comes in. If you have ADHD, autism, dyslexia or another form of neurodivergence, you might have been told that your brain is “too much”, “too distracted” or “too literal” for a lab or scientific career. In reality, many of the traits that come with ADHD, autism & dyslexia are perfectly suited to biotech work – from spotting subtle patterns in experimental data to creative thinking around new solutions. This guide is written for biotechnology job seekers in the UK. We will explore: What neurodiversity means in a biotech context How ADHD, autism & dyslexia strengths map onto specific biotech roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence in applications & interviews By the end, you will have a clearer idea of where you might thrive in biotech – & how to set up your working environment so your differences become genuine superpowers.

Biotechnology Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the biotechnology jobs market in the UK is going through rapid change. Funding cycles are tighter, some organisations are restructuring or consolidating, & yet demand for specialist biotech skills remains strong – particularly in areas like cell & gene therapy, bioprocessing, mRNA platforms, bioinformatics & regulatory affairs. New therapies are coming through the pipeline, advanced manufacturing facilities are scaling up, & digital tools are transforming lab & clinical workflows. At the same time, some roles are being automated, outsourcing patterns are shifting, & hiring standards are rising. Whether you are a biotech job seeker planning your next move, or a recruiter trying to build teams in a complex market, understanding the key biotechnology hiring trends for 2026 will help you stay ahead.