284 Clinical Data Manager jobs in the United Kingdom
Senior Clinical Data Manager
Posted today
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In this vital role, you will be responsible for the end-to-end management of clinical trial data, ensuring its accuracy, integrity, and compliance with regulatory standards. You will lead data management activities for multiple clinical studies, collaborating closely with clinical operations, biostatistics, and regulatory affairs teams.
Key responsibilities include developing and implementing data management plans, designing clinical databases, managing data validation processes, and overseeing data cleaning activities. You will ensure that all data management activities adhere to Good Clinical Practice (GCP) guidelines and relevant data privacy regulations. Experience with various Electronic Data Capture (EDC) systems and a strong understanding of clinical trial processes are essential.
The ideal candidate will possess a Bachelor's or Master's degree in a relevant scientific or healthcare field, with extensive experience in clinical data management. Strong leadership and project management skills are required, along with excellent analytical and problem-solving abilities. You must be adept at interpreting complex data, identifying potential issues, and implementing effective solutions. Exceptional communication and interpersonal skills are crucial for collaborating with internal teams and external partners. This is an exceptional opportunity for an experienced data professional to make a significant contribution to life-changing research.
Responsibilities:
- Lead and manage all aspects of clinical data management for assigned studies.
- Develop and implement comprehensive Data Management Plans (DMPs).
- Design, build, and maintain clinical databases using EDC systems.
- Define data validation rules and perform data cleaning activities to ensure data integrity.
- Oversee user acceptance testing (UAT) of clinical databases.
- Generate data management reports and metrics for study progress.
- Ensure compliance with GCP, ICH guidelines, and data privacy regulations (e.g., GDPR).
- Collaborate with Clinical Operations, Biostatistics, and Medical teams to address data-related queries.
- Participate in the selection and implementation of new data management technologies.
- Contribute to the development and training of junior data management personnel.
- Bachelor's or Master's degree in Life Sciences, Computer Science, Statistics, or a related field.
- Minimum of 7 years of progressive experience in clinical data management.
- Proven experience managing data for Phase I-IV clinical trials.
- Proficiency with multiple Electronic Data Capture (EDC) systems (e.g., Medidata Rave, Oracle Clinical, Veeva EDC).
- Strong understanding of clinical trial processes and regulatory requirements (GCP, ICH).
- Excellent understanding of database design, data validation, and data reconciliation.
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills.
- Ability to manage multiple projects simultaneously and prioritize tasks effectively.
- Experience with data standardization (e.g., CDISC SDTM/ADaM) is highly desirable.
Senior Clinical Data Manager
Posted 1 day ago
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Principal Clinical Data Manager
Posted 7 days ago
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Key responsibilities include developing clinical data management plans, creating data validation specifications, and managing external vendors involved in data management activities. You will lead and mentor a team of data managers, providing guidance and support to ensure efficient and effective data collection and processing. The ideal candidate will possess a Bachelor's or Master's degree in a scientific or healthcare-related field, with a minimum of 8 years of experience in clinical data management, including significant experience in a leadership or principal role. A strong understanding of clinical trial processes, CDISC standards (SDTM, ADaM), and various EDC systems (e.g., Medidata Rave, Oracle Clinical) is essential. Excellent analytical, problem-solving, and communication skills are required, along with meticulous attention to detail. Experience with database programming and query writing is highly desirable. This is an excellent opportunity to contribute to critical drug development programs and advance your career in a highly respected pharmaceutical organization.
Senior Clinical Data Manager
Posted 15 days ago
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Responsibilities:
- Develop and implement comprehensive Data Management Plans (DMPs) for clinical trials.
- Design, build, and maintain clinical databases using Electronic Data Capture (EDC) systems.
- Oversee the creation and validation of Case Report Forms (CRFs) and data entry guidelines.
- Establish and execute data validation procedures, including query generation and resolution.
- Ensure data accuracy, completeness, and consistency throughout the clinical trial lifecycle.
- Perform data review and cleaning activities in accordance with protocols and DMPs.
- Manage User Acceptance Testing (UAT) for clinical databases and related systems.
- Collaborate with cross-functional teams, including biostatistics, clinical operations, and regulatory affairs.
- Ensure compliance with Good Clinical Practice (GCP), ICH guidelines, and other relevant regulations.
- Contribute to the development and maintenance of standard operating procedures (SOPs) for data management.
- Act as a subject matter expert for clinical data management within the organisation.
- Mentor and provide guidance to junior clinical data management personnel.
- Bachelor's degree in a life science, computer science, or related field.
- Minimum of 5 years of experience in clinical data management within the pharmaceutical or biotech industry.
- Proven experience with EDC systems (e.g., Medidata Rave, Oracle Clinical, Veeva).
- Strong understanding of ICH-GCP guidelines and regulatory requirements for clinical data.
- Excellent knowledge of database design, data validation, and data cleaning processes.
- Proficiency in clinical trial methodologies and terminology.
- Strong analytical and problem-solving abilities with meticulous attention to detail.
- Effective communication and interpersonal skills, with the ability to work collaboratively in a hybrid team environment.
- Experience in leading data management activities for multiple studies is advantageous.
Principal Clinical Data Manager
Posted 22 days ago
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Key Responsibilities:
- Lead the design, setup, and maintenance of clinical databases according to study protocols and therapeutic area requirements.
- Develop and implement data management plans (DMPs), edit check specifications, and data validation procedures.
- Oversee data cleaning activities, issue resolution, and database lock processes for clinical trials.
- Ensure compliance with Good Clinical Practice (GCP), FDA regulations, ICH guidelines, and other relevant regulatory requirements.
- Develop and maintain standard operating procedures (SOPs) and work instructions for clinical data management.
- Provide technical expertise and guidance on clinical data management best practices.
- Mentor and train junior data managers and data management staff.
- Act as a key point of contact for data management activities, collaborating with clinical operations, biostatistics, programming, and medical teams.
- Participate in the selection and implementation of data management technologies and tools.
- Conduct quality control checks and audits to ensure data accuracy and consistency.
- Contribute to the development of integrated data management strategies across multiple projects and therapeutic areas.
- Review and approve data management-related documents, including CRFs, database specifications, and validation reports.
- Proactively identify risks and issues related to data management and implement mitigation strategies.
- Stay current with industry trends, regulatory changes, and advancements in clinical data management.
Required Qualifications:
- Bachelor's degree in a scientific, technical, or health-related field. Master's degree preferred.
- Minimum of 10 years of progressive experience in clinical data management within the pharmaceutical or biotechnology industry.
- Extensive knowledge of clinical trial processes and regulatory requirements (GCP, ICH, FDA).
- Proficiency in CDISC standards (SDTM, ADaM) and experience with data warehousing solutions.
- Strong experience with clinical data management systems (e.g., Medidata Rave, Oracle Clinical, SAS).
- Proven ability to lead data management activities for complex, global clinical trials.
- Excellent understanding of database design, data validation techniques, and data cleaning processes.
- Strong leadership, project management, and problem-solving skills.
- Exceptional communication, presentation, and interpersonal skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience in mentoring and developing data management professionals.
This fully remote role offers a significant opportunity to influence drug development and advance your career at the forefront of pharmaceutical innovation.
Remote Clinical Data Manager
Posted 25 days ago
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Lead Clinical Data Manager (Remote)
Posted 7 days ago
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Job Description
As the Lead Clinical Data Manager, you will be responsible for overseeing all aspects of clinical data management activities, including database design and development, data validation strategy, UAT, and the execution of data review and cleaning processes. You will manage a team of data managers, providing guidance, mentorship, and ensuring adherence to global regulatory standards (e.g., ICH-GCP, FDA regulations). This role requires a deep understanding of clinical trial processes, EDC systems, and data standards (e.g., CDISC). You will collaborate closely with clinical operations, biostatistics, programming, and medical teams to ensure timely and high-quality data delivery.
Key Responsibilities:
- Lead and manage global clinical data management activities for assigned clinical trials.
- Oversee the design, build, testing, and validation of clinical databases using Electronic Data Capture (EDC) systems.
- Develop and implement comprehensive data management plans (DMPs), data validation plans, and data review guidelines.
- Manage data cleaning activities, including query generation and resolution, ensuring data accuracy and completeness.
- Oversee the development and execution of User Acceptance Testing (UAT) for clinical databases and related tools.
- Ensure compliance with ICH-GCP guidelines, regulatory requirements, and internal SOPs.
- Lead the process of database lock for clinical studies, ensuring all data issues are resolved.
- Manage and mentor a team of clinical data managers, fostering their professional development.
- Liaise with external vendors, including CROs, for data management activities.
- Contribute to the development and maintenance of departmental SOPs and work instructions.
- Represent the data management function in cross-functional study team meetings and contribute to study-level strategy.
- Ensure data standardization according to CDISC SDTM and ADaM requirements where applicable.
- Bachelor's degree in a life science, computer science, or related field.
- A minimum of 7 years of experience in clinical data management within the pharmaceutical or biotech industry.
- At least 2 years of experience in a lead or management role.
- Extensive experience with various EDC systems (e.g., Medidata Rave, Oracle Clinical, Veeva Vault EDC).
- Strong knowledge of clinical trial processes, regulatory requirements (ICH-GCP, FDA), and data standards (CDISC).
- Proven ability to manage multiple projects simultaneously in a remote setting.
- Excellent leadership, communication, and interpersonal skills.
- Strong understanding of data quality control and validation methodologies.
- Experience in managing and mentoring direct reports.
- Ability to work independently and collaboratively in a fast-paced, global environment.
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Senior Clinical Data Manager (Remote)
Posted 23 days ago
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Key Responsibilities:
- Lead the design, database build, and validation of clinical databases according to study protocols and regulatory requirements (e.g., CDISC, ICH GCP).
- Develop Data Management Plans (DMPs) and contribute to other study-related documentation, such as CRFs, edit checks, and data validation plans.
- Oversee the data cleaning process, including query generation, resolution, and reconciliation, ensuring timely and accurate data review.
- Manage data entry and transfer activities, ensuring data integrity and compliance with SOPs.
- Coordinate with cross-functional teams, including clinical operations, biostatistics, programming, and medical monitors, to ensure efficient data flow and issue resolution.
- Provide guidance and mentorship to junior data managers and data management staff.
- Ensure adherence to all relevant regulatory guidelines and industry standards throughout the data management lifecycle.
- Participate in database validation activities, user acceptance testing (UAT), and system integration testing.
- Contribute to the development and implementation of data management standards, SOPs, and best practices.
- Manage multiple clinical studies simultaneously, ensuring all data management deliverables are met on time and within budget.
- Act as a key point of contact for data management aspects during client audits and regulatory inspections.
- Evaluate and implement new technologies and tools to enhance data management efficiency and quality.
- Contribute to the proposal process by providing input on data management timelines and resource requirements.
- Perform quality control checks on data management activities and deliverables.
- Bachelor's degree in a life science, computer science, or related field. Master's degree preferred.
- A minimum of 5-7 years of experience in clinical data management within the pharmaceutical or CRO industry.
- Extensive experience with EDC (Electronic Data Capture) systems (e.g., Medidata Rave, Oracle Clinical, Veeva EDC).
- Strong understanding of clinical trial processes, data standards (CDISC), and regulatory requirements (ICH GCP, FDA).
- Proficiency in database design, data validation, and query management.
- Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively in a remote team environment.
- Strong analytical and problem-solving abilities with meticulous attention to detail.
- Experience mentoring or supervising junior team members.
- Ability to manage multiple projects simultaneously and prioritize effectively.
- Proficiency in Microsoft Office Suite.
- Must be based in the UK and eligible to work remotely.
Senior Clinical Data Manager - Oncology Trials
Posted 21 days ago
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Principal Pharmaceutical Data Scientist
Posted 13 days ago
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Responsibilities:
- Lead the development and implementation of sophisticated data models and algorithms for predictive analytics in drug discovery and development.
- Analyze large-scale omics data, clinical trial data, real-world evidence, and chemical structures to identify novel targets and biomarkers.
- Design and build robust data pipelines for efficient data ingestion, processing, and storage, ensuring data integrity and scalability.
- Collaborate closely with medicinal chemists, biologists, clinicians, and bioinformaticians to understand scientific challenges and provide data-driven solutions.
- Develop and deploy machine learning models for tasks such as compound screening, efficacy prediction, patient stratification, and trial site selection.
- Present complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders across the organization.
- Mentor junior data scientists and contribute to the overall technical growth of the data science team.
- Stay at the forefront of scientific literature and technological advancements in bioinformatics, cheminformatics, and data science.
- Contribute to the strategic direction of data science initiatives within the pharmaceutical R&D pipeline.
- Ph.D. or M.S. in Data Science, Computer Science, Statistics, Bioinformatics, Computational Chemistry, or a related quantitative field.
- 10+ years of experience in data science, with a significant portion focused on the pharmaceutical or biotechnology industry.
- Deep understanding of machine learning techniques, statistical modeling, and data mining.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong knowledge of biological pathways, drug discovery processes, and clinical trial methodologies.
- Excellent problem-solving skills and the ability to work independently and lead projects in a remote environment.
- Exceptional communication and presentation skills.
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