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- Tasks: Transform complex data into insights to support clinical trials and product innovation.
- Company: Join Blatchford, a global leader in advanced prosthetic technology and mobility solutions.
- Benefits: Enjoy flexible hybrid working, 25 days holiday, and a health cash plan.
- Why this job: Be part of an award-winning team focused on improving quality of life through data.
- Qualifications: BSc in Data Science or related field; experience with data analysis tools required.
- Other info: Opportunity to contribute to scientific publications and work with cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
Blatchford is a multi-award winning, global manufacturer of some of the world’s most advanced prosthetic technology, bespoke seating solutions and orthotic devices. Our evidence-based approach and commitment to continuously challenge possibilities ensures our mobility solutions prioritise the wellbeing and long-term health of our users. Through science, technology, and maintaining a clear focus on people, we make mobility possible.
Due to the continued growth and development of our dynamic, multi-disciplinary R&D team, we have an exciting opportunity for a Clinical Data Analyst to join our newly defined clinical division.
The role
As a Clinical Data Analyst, you will work closely with Clinical Trials Specialists, Engineers, Researchers, and Commercial teams to support clinical trials and internal R&D initiatives, converting complex datasets into meaningful insights. You will directly support product innovation, validation, and the development of patient-focused solutions that improve quality of life.
- Using modern data tools and techniques to transform, shape and model structured and unstructured data to support useful data insights and analytics.
- Collect, clean and analyse clinical and performance data from gait lab assessments and prosthetic/orthotic devices as part of product trials and internal research studies.
- Using machine learning tools and statistical techniques to provide novel solutions to problems.
- Providing expertise in the creation of algorithms and machine learning models to support clinician use cases and improve clinical outcomes for patients.
- Exploring and investigating potential sources of data.
- Designing and iterating potential analytics strategies and methods to better understand behaviours, patterns and effects from available data.
- Visualising and presenting findings in a clear and accessible manner to non-technical teams.
- Contributing to scientific publications, whitepapers, and conference presentations.
- Ensuring data handling is compliant with regulatory standards (e.g., GDPR, ISO 14155).
- Supporting internal product validation processes through robust statistical analysis.
- Participating in risk analysis and usability assessments where relevant.
- Writing documents and reports to provide insights and information to key stakeholders.
- Applying appropriate controls on the access and use of data to adhere to GDPR and other patient data protection requirements.
What can we offer you?
As a Clinical Data Analyst, you will receive the following:
- Highly competitive salary.
- Flexible, hybrid working.
- 25 days holiday (rising with service).
- Option to purchase additional annual leave.
- Pension.
- Death in service.
- Discounted shopping and leisure activities.
- Health cash plan.
- Cycle to work scheme.
- Opportunity to be part of an award-winning organisation with a culture that centres around our core values; courage, learning, integrity, collaboration, and innovation.
What are we looking for?
- BSc in Data Science/Biostatistics/Biomedical Engineering/Biomechanics.
- Proven experience working with structured and unstructured data.
- Proficiency in Python, MATLAB, R, SQL or similar data analysis languages.
- Experience working with biomechanical or wearable data (e.g., gait analysis).
- Experience working within cross-functional teams.
- Strong analytical and problem-solving abilities.
- Ability to communicate complex data to non-technical audiences.
- Collaborative mindset with strong interpersonal skills.
- Clear, structured documentation and reporting skills.
- Strong attention to detail.
- Passionate about using data to drive patient-centred outcomes.
If you feel like you meet the above criteria for this exciting Clinical Data Analyst opportunity, then please apply now!
Clinical Data Analyst employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and languages mentioned in the job description, such as Python, MATLAB, R, and SQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart during the interview process.
✨Tip Number 2
Network with professionals in the clinical data analysis field, especially those who work in similar roles or industries. Attend relevant conferences or webinars to connect with potential colleagues and learn more about the latest trends and challenges in clinical data analysis.
✨Tip Number 3
Prepare to discuss your experience with structured and unstructured data, particularly in relation to biomechanical or wearable data. Be ready to provide examples of how you've used data to drive patient-centred outcomes in previous roles or projects.
✨Tip Number 4
Practice explaining complex data concepts in simple terms, as you'll need to communicate findings to non-technical teams. Consider doing mock interviews with friends or mentors to refine your ability to present data insights clearly and effectively.
We think you need these skills to ace Clinical Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Clinical Data Analyst position at Blatchford. Understand the key responsibilities and required skills, such as proficiency in Python, MATLAB, or R, and experience with structured and unstructured data.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your analytical abilities, experience with clinical data, and any previous work in cross-functional teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how it can improve patient outcomes. Mention specific projects or experiences that demonstrate your expertise in handling clinical data and your ability to communicate findings to non-technical audiences.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a Clinical Data Analyst role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in data analysis languages like Python, MATLAB, R, or SQL. Bring examples of past projects where you successfully worked with structured and unstructured data, especially in a clinical or biomechanical context.
✨Communicate Clearly
Since the role involves presenting complex data to non-technical teams, practice explaining your previous work in simple terms. Use clear visuals or examples to demonstrate how your insights have driven patient-centred outcomes.
✨Demonstrate Collaboration
Highlight your experience working within cross-functional teams. Be ready to share specific instances where you collaborated with engineers, researchers, or clinical trial specialists to achieve a common goal.
✨Understand Regulatory Standards
Familiarise yourself with GDPR and other relevant regulations regarding data handling. Be prepared to discuss how you ensure compliance in your data analysis processes, as this is crucial for the role.
