Data Analyst/Engineer (Python)
Liverpool city centre
£35k-£45k basic (DoE)
**NB - This job opportunity is unable to offer VISA sponsorship
Liverpool based job opportunity to join a fast growth MedTech organisation as a Data Analyst/Engineer.
• Competitive salary and benefits package.
• The opportunity to be part of a dynamic, innovative team in a rapidly expanding field.
• The chance to make a significant impact on the development of new therapies and treatments.
Job Summary:
We are looking for an experienced data engineer or data analyst who has the technical skills to handle imaging related datasets and streamline workflows for the company’s healthcare related business services. The company works with mainly pharmaceutical/biotechnology companies to manage the imaging part of their clinical trials, end to end. The company will utilise their innovative in-house AI software to analyse the images and return data to the clients. If you are interested in AI, clinical trials and data management this could be the perfect opportunity for you!
Job Description
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 clinical trial representatives, you will help ensure that study data is reliable, secure and supports high-quality clinical outcomes.
This is a great opportunity to join a fast-growing team in an exciting area.
This is a full-time position, working Monday to Friday, working 4 days a week from their Liverpool office and 1 day WFH.
Key Responsibilities:
Coordinate and schedule data returns for clinical studies, ensuring clear communication and setting expectations.
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.
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 Person
• Educated to degree level, preferable in relevant subject area such as computer sciences, biomedical informatics, health information management, data science, life science or biomedical engineering.
• Minimum of 1 year experience of demonstrated proficiency in Python for data automation, scripting, and workflow optimisation.
• Proficiency in data quality assurance, cleaning, and reconciliation techniques.
• 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.
- Certification in clinical data management, Python, AI, data analytics and CDASH basics are all desirable.
- 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
