At a Glance
- Tasks: Support a national review of MND incidence and prevalence estimates using complex health data.
- Company: Join the MND Association, dedicated to supporting those affected by Motor Neurone Disease.
- Benefits: Work in a secure research environment with opportunities for impactful contributions.
- Other info: Collaborate with top universities and work with cutting-edge statistical methods.
- Why this job: Make a real difference in MND research and help improve lives through data analysis.
- Qualifications: Advanced expertise in epidemiology and strong analytical programming skills required.
The predicted salary is between 50000 - 65000 £ per year.
The MND Association is in search for an experienced Epidemiological consultant to support a national review of incidence and prevalence estimates for the association in the UK. In this high impact collaborative post, you will reconcile variation across key datasets, including the MND Register, Hospital Episode Statistics (HES) derived datasets, and the MND Association's internal database. You will work closely with the MND Register team at Kings College London and Oxford University, and be comfortable working with complex population health data in secure research environments. If you would like to support MND and bring your expert epidemiological and statistical insight to produce a validated, national prevalence estimate, this role could be for you.
Key Responsibilities
- Conduct a detailed audit of multiple datasets to assess structure, completeness, and consistency
- Identify and address differences in case definitions, coding practices, and inclusion criteria
- Develop and document a harmonised analytical framework for comparing datasets
- Define and standardise MND case definitions, including consideration of subtypes and uncertain diagnoses
- Align cohorts across data sources to enable meaningful comparison
- Design and apply approaches to identify duplication and overlap within and between datasets
- Incorporate mortality and survival data to refine prevalence estimates
- Assess the feasibility and application of capture-recapture or similar completeness methods
- Produce sensitivity analyses and low, central, and high prevalence scenarios
- Clearly document assumptions, limitations, and interpretation of findings
- Deliver reproducible, well-documented analytical code within the KCL Trusted Research Environment
- Produce both technical reports and senior-level summary outputs for key stakeholders
All work will be undertaken within the Kings College London Trusted Research Environment (TRE), in line with governance and disclosure control requirements. The TRE itself is ISO 27001 certified and undergoes annual external audits and third-party penetration testing, ensuring ongoing compliance with international information security standards. The following programmes are available within the TRE for analysis; R studio, IBM SPSS, Anaconda, Stata and pgAdmin for SQL.
About You
- Advanced expertise in epidemiology, biostatistics, or health data science
- Strong experience applying advanced statistical methods, such as capture-recapture or similar approaches
- Proven experience working within secure data environments (e.g. Trusted Research Environments, NHS Digital, ONS Secure Research Service)
- Strong analytical programming skills, with proficiency in R and/or Python
- Experience working with large, complex health or population-level datasets
- Ability to clearly document methodology and communicate findings to both technical and senior audiences
The full consultant brief is attached.
About Us
Motor Neurone Disease moves fast. It takes away time, it takes away independence and it has no cure. Every day we support people affected by MND. We fund ground-breaking research. We campaign for better care. We're here for everyone who needs us. Because with MND, every day matters.
Epidemiological Consultant in Milton Keynes employer: Motor Neurone Disease Association
The MND Association is an exceptional employer, offering a unique opportunity to contribute to impactful research in the field of epidemiology while collaborating with prestigious institutions like King's College London and Oxford University. Our supportive work culture prioritises employee growth, providing access to advanced analytical tools and a secure research environment that fosters innovation and professional development. Join us in making a difference for those affected by Motor Neurone Disease, where every day matters.
Contact Details:
Motor Neurone Disease Association Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Epidemiological Consultant in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to professionals in the epidemiology field, especially those connected to MND research. Attend relevant conferences or webinars to make connections and learn about potential job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytical projects, especially those involving complex datasets. This will help you stand out during interviews and demonstrate your expertise in epidemiology and biostatistics.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses. Focus on articulating your experience with secure data environments and statistical methods, as these are key for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in working with us at the MND Association, where every day matters.
We think you need these skills to ace Epidemiological Consultant in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Epidemiological Consultant. Highlight your experience with complex datasets and any relevant statistical methods you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about MND and how your expertise can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your programming skills, especially in R or Python. If you’ve worked in secure data environments before, let us know! We’re keen on candidates who can navigate complex health data with ease.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Motor Neurone Disease Association
✨Know Your Data Inside Out
Make sure you’re familiar with the datasets mentioned in the job description, like the MND Register and Hospital Episode Statistics. Brush up on how to assess their structure and completeness, as well as any common issues that arise when reconciling data.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with advanced statistical methods, especially capture-recapture techniques. Be ready to provide examples of how you've applied these methods in previous roles, and think about how you would approach the analysis for this specific role.
✨Communicate Clearly
Since you'll be working with both technical and senior audiences, practice explaining complex epidemiological concepts in simple terms. Prepare a few key points on how you would document your methodology and communicate findings effectively.
✨Familiarise Yourself with the TRE
Get to know the Trusted Research Environment (TRE) and the tools available for analysis, such as R, Python, and SPSS. If possible, try to run some sample analyses using these tools to demonstrate your proficiency during the interview.
