Medical Statistician (Real World Data)

at  Medisoft

ABOUT US

Medisoft is the UK’s leading provider of software for hospital ophthalmology services and private eye clinics. Our flagship Electronic Medical Record (EMR) system, mediSIGHT®, is used routinely by around 130 organisations worldwide to help clinical teams assess vision defects and save sight.
The routine recording of rich structured data within our EMR software allows for anonymised data extracts from multiple centres to be combined for statistical analysis to support retrospective observational data studies. These multi-centre datasets provide robust and valuable real-world evidence, resulting in improved care and outcomes for patients.

ABOUT YOU

We are looking for an experienced Medical Statistician / Statistical Programmer to join our expanding Data Services team. The analysis of data, in a regulated and controlled manner, is an important growth area for the company and this is an exciting opportunity to join us in a key role, taking a lead on the design, development and delivery of studies using real-world ophthalmology EMR datasets.
The successful candidate will be thorough and systematic with a keen eye for detail. Excellent technical ability and a proven aptitude for problem-solving are essential. They will be proactive in their approach and a confident and clear communicator.

Key responsibilities include:

• Conducting statistical analysis on real-world datasets in line with agreed approach
• Performing quality assurance activities on statistical results and outputs
• Preparing and presenting statistical analysis results
• Providing input into study protocols, statistical analysis plans (SAPs) and reports summarising findings
• Working with the Data Engineering team to create data specifications
• Collaborating with internal and external experts, including clinical KOLs and stakeholders from industry and professional bodies
• Co-authoring abstracts, poster/presentations and articles for publication in peer-reviewed journals or presentation at conferences
• Carrying out project management activities, such as planning study delivery and leading meetings with external stakeholders
• Gaining a deep knowledge of our datasets, software products, and ophthalmology
• Mentoring of less experienced team members

Candidates must be able to demonstrate:

• PhD or MSc in Medical Statistics, Biostatistics, or a related discipline
• Experience with statistical modelling and data analysis
• Strong proficiency using R for statistical computing and data visualisation
• Experience analysing large and complex real-world (ideally medical) datasets
• Experience writing technical documentation, ideally protocol or SAP documents
• Experience managing multiple projects with competing timelines
• Ability to engage with a broad range of people across different business functions
• Strong communication skills, both verbal and written
• Excellent numerical and analytical skills and a proven aptitude for problem-solving
• Meticulous attention to detail

Desirable additional criteria:

• Experience working with ophthalmology data
• Experience working with complex electronic health record datasets
• Experience with Git
• Knowledge of clinical coding systems (OPCS-4, ICD-10, SNOMED-CT)
• Exposure to prospective capture clinical trials and CRF design
• Knowledge of machine learning techniques and/or deep learning methods, including image-based algorithms

We don’t expect specific knowledge of ophthalmology, but we’re looking for a quick learner who is genuinely excited about our product, our market, and how we can improve the practice of specialist eye care.
The role is based at our offices in Leeds, but occasional travel may be required.

• Conducting statistical analysis on real-world datasets in line with agreed approach
• Performing quality assurance activities on statistical results and outputs
• Preparing and presenting statistical analysis results
• Providing input into study protocols, statistical analysis plans (SAPs) and reports summarising findings
• Working with the Data Engineering team to create data specifications
• Collaborating with internal and external experts, including clinical KOLs and stakeholders from industry and professional bodies
• Co-authoring abstracts, poster/presentations and articles for publication in peer-reviewed journals or presentation at conferences
• Carrying out project management activities, such as planning study delivery and leading meetings with external stakeholders
• Gaining a deep knowledge of our datasets, software products, and ophthalmology
• Mentoring of less experienced team member