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- Tasks: Manage clinical study data, ensuring accuracy and compliance while optimising workflows with Python.
- Company: Join MyCardium AI, a cutting-edge company transforming cardiac imaging with AI technology.
- Benefits: Enjoy a hybrid work model with 4 days in the office and 1 day working from home.
- Why this job: Be part of a passionate team dedicated to innovation and making a positive impact in healthcare.
- Qualifications: Degree in relevant fields; experience in clinical data management and proficiency in Python are preferred.
- Other info: Opportunity to work closely with project managers and contribute to high-quality clinical outcomes.
The predicted salary is between 36000 - 60000 £ per year.
1 day ago Be among the first 25 applicants
This range is provided by MyCardium AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
The Role
Are you experienced in managing clinical data and ensuring its accuracy? Do you have the technical skills to handle imaging-related datasets and streamline workflows with Python?If so, this could be the perfect opportunity for you!
We are MyCardium AI, an innovative company at the forefront of cardiac imaging and AI technology. We are now seeking a Data Manager to join our growing team in Liverpool.
You will be responsible for managing the lifecycle of clinical study data, ensuring accuracy, compliance and smooth data handling processes. Working closely with project managers, imaging analysts and sponsor representatives, you will help ensure that study data is reliable, secure and supports high-quality clinical outcomes.
If this sounds like the right opportunity for you, we’d love to hear from you. Apply today and join us on our journey to transform healthcare with AI.
This role is 4 days office based (Liverpool)/1 day WFH.
Key Responsibilities:
- Coordinate and schedule data returns for clinical studies, ensuring clear communication and setting expectations with Core Lab clinical readers.
- Perform data cleaning and quality control (QC) checks to ensure the accuracy, reliability and integrity of clinical trial data.
- Develop and implement Python based automation scripts to optimise data handling processes, ensuring compliance with data governance standards in Core Labs.
- Oversee accurate and consistent filing of study documentation and project related data to maintain compliance with regulatory and organisational standards.
- Draft, review and finalise documents such as Data Transfer Agreement (DTA) and data approval forms in alignment with study protocols.
- Manage the data lifecycle, including monitoring data integrity verification and reporting, to support accurate interpretation of clinical trial outcomes.
- Generate detailed reports to support operational workflows and enhance data-driven decision making with clinical reports.
- Liaise with project managers, imaging analysts, and sponsor representatives to align data handling practices with project goals and regulatory expectations.
- Maintain data pipelines specific to medical imaging formats (e.g., DICOM), including anonymisation, metadata integrity checks, and format conversions.
The Company
Founded in 2022, MyCardium AI is a spin-out from University College London. Our aim is to transform healthcare delivery using AI for cardiac MRI and Echo analysis. We\’re a passionate team committed to excellence, innovation, and creating a positive and inclusive work environment.
The Person
- Educated to degree level, preferable in relevant subject area such as biomedical informatics, computer science, health information management, data science, life science or biomedical engineering.
- Certification in clinical data management, Python, AI, data analytics and CDASH basics are all desirable.
- Proven experience in clinical data management, ideally in imaging core lab or CRO environments.
- Strong understanding of clinical trial data lifecycles, regulatory standards, and Good Clinical Practice (GCP).
- Experience with handling and transferring imaging-related data (DICOM).
- Demonstrated proficiency in Python for data automation, scripting, and workflow optimisation.
- Experience working with secure data transfer tools and data governance frameworks.
- Strong organisational skills and attention to detail, with the ability to manage multiple concurrent studies.
- Excellent communication and documentation skills; able to interface with clinical, technical, and regulatory teams.
- Experience with regulatory documentation such as Data Transfer Agreements (DTA), SOPs, and data management plans.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology and Management
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Industries
Software Development
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Data Manager employer: MyCardium AI
Contact Detail:
MyCardium AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager
✨Tip Number 1
Familiarise yourself with the specific data management tools and software used in clinical settings, especially those related to imaging data like DICOM. This knowledge will not only help you during interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the clinical data management field, particularly those who work with AI and imaging technologies. Attend relevant conferences or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Brush up on your Python skills, focusing on automation and data handling processes. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to streamline workflows, as this is a key requirement for the role.
✨Tip Number 4
Prepare to discuss your experience with regulatory standards and Good Clinical Practice (GCP) during the interview. Be ready to provide examples of how you've ensured compliance in past roles, as this will be crucial for the Data Manager position.
We think you need these skills to ace Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in clinical data management, particularly with imaging-related datasets. Emphasise your technical skills in Python and any certifications you hold that are pertinent to the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for healthcare innovation and how your background aligns with MyCardium AI's mission. Mention specific experiences that demonstrate your ability to manage clinical data and ensure compliance.
Showcase Relevant Skills: Clearly outline your proficiency in Python and any experience with data automation or handling medical imaging formats like DICOM. Use examples from past roles to illustrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A polished application reflects attention to detail, which is crucial for a Data Manager role.
How to prepare for a job interview at MyCardium AI
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any automation scripts you've developed. Be prepared to discuss specific projects where you optimised data handling processes, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand Clinical Data Management
Familiarise yourself with the clinical trial data lifecycle and regulatory standards. Be ready to discuss your understanding of Good Clinical Practice (GCP) and how it applies to data management, as this knowledge is crucial for the position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past experiences where you had to manage data integrity or handle complex datasets, and be ready to explain your approach and the outcomes.
✨Communicate Clearly and Effectively
Since the role involves liaising with various teams, practice articulating your thoughts clearly. Prepare to discuss how you would communicate data findings and collaborate with project managers and imaging analysts to ensure alignment on project goals.
