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For Companies At a Glance
- Tasks: Join a dynamic team to manage clinical databases and analyse data for vital respiratory studies.
- Company: Work at a world-leading institution focused on innovative research in infectious diseases.
- Benefits: Enjoy 39 days of annual leave, flexible working, and a generous pension scheme.
- Why this job: Make a real impact on global health while developing your skills in a supportive environment.
- Qualifications: Experience with large datasets, R, and SQL is essential; prior data management experience preferred.
- Other info: This is a full-time, fixed-term role for two years, based mainly in London.
The predicted salary is between 46600 - 68000 £ per year.
Job Type: Full-Time. Starting Salary: £56652 - £68005 per annum plus benefits.
About the role
We are seeking an enthusiastic, dynamic, and motivated Clinical Data Manager with an interest and experience in clinical studies and data stewardship to work on a diverse portfolio of studies that aim to understand how to protect people against respiratory viral infections, within the Section of Adult Infectious Diseases as part of Professor Chris Chiu's research group. Respiratory viral infections are among the most important causes of severe disease and death worldwide. The overall theme of this research programme is to understand the factors associated with susceptibility to infection and disease in human beings through translational studies of SARS-CoV-2, RSV and influenza virus, and next-generation vaccines. Professor Chiu is a leading expert in the field of Controlled Human Infection (CHI) Studies.
What you would be doing
- Working as part of a multidisciplinary team, you will work with the clinical programme management team and research staff to design, build, test and maintain trial specific clinical databases and any other databases or systems that are required for the efficient running of the studies.
- You will play a key role in the identification, collation, management, harmonisation and analysis of both clinical trial and laboratory data generated in these translational studies.
- You will also have the opportunity to develop and establish processes to ensure clinical and laboratory data meet findability, accessibility, interoperability, and reusability (FAIR) data principles.
What we are looking for
- Exceptional analytical thinking, attention to detail and experience of working with large heterogeneous datasets.
- Prior data management experience in health informatics, epidemiological or clinical trial research, biobanks, or electronic health records (e.g. in primary care or hospital care).
- Knowledge of R as well as clinical trial database platforms (e.g. REDCap or OpenClinica).
- Experience with SQL and managing relational databases (SQL Server Management Studio) would be desirable.
What we can offer you
- The opportunity to work across multiple clinical studies and with partners both within and outside the UK to undertake and deliver training in data stewardship according to FAIR data principles.
- The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
- Benefit from a sector-leading salary and remuneration package (including 39 days annual leave and generous pension schemes).
- Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme.
- Interest-free season ticket loan schemes for travel.
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further information
This is a full-time, fixed-term post for two years in the first instance, based mainly at the Hammersmith Campus with some work at the South Kensington Campus.
Clinical Data Manager - London employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Manager - London
✨Tip Number 1
Familiarise yourself with the latest trends in clinical data management and the specific methodologies used in respiratory viral infection studies. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the field of clinical data management, especially those who have experience with clinical trials or health informatics. Engaging with them can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your skills in R and SQL, as these are crucial for the role. Consider taking online courses or participating in workshops to enhance your proficiency, which will make you a more attractive candidate.
✨Tip Number 4
Prepare thoughtful questions about the research projects and data stewardship practices at StudySmarter. This shows your enthusiasm for the position and helps you stand out during the interview process.
We think you need these skills to ace Clinical Data Manager - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in clinical data management, particularly with large datasets and clinical trials. Emphasise any familiarity with R, SQL, and database platforms like REDCap or OpenClinica.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your enthusiasm for the role and the research being conducted. Mention specific projects or studies that resonate with you and explain how your skills align with the job requirements.
Highlight Relevant Experience: In your application, clearly outline your previous roles related to health informatics or clinical trial research. Provide examples of how you've managed data and contributed to projects, focusing on your analytical skills and attention to detail.
Follow Application Instructions: Ensure you carefully follow the application instructions provided on the Imperial job site. Double-check that all required documents are included and that your application is submitted before the deadline.
How to prepare for a job interview at Imperial College London
✨Showcase Your Analytical Skills
As a Clinical Data Manager, analytical thinking is crucial. Be prepared to discuss specific examples of how you've tackled complex datasets in the past, highlighting your attention to detail and problem-solving abilities.
✨Familiarise Yourself with Relevant Tools
Make sure you have a good understanding of R, SQL, and clinical trial database platforms like REDCap or OpenClinica. Mention any hands-on experience you have with these tools during the interview to demonstrate your technical proficiency.
✨Understand FAIR Data Principles
Since the role involves ensuring data meets findability, accessibility, interoperability, and reusability principles, brush up on these concepts. Be ready to discuss how you would implement these principles in your work.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street. Prepare insightful questions about the research projects, team dynamics, and the institution's approach to data stewardship. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
