At a Glance
- Tasks: Support a national review of MND incidence and prevalence estimates using complex health data.
- Company: Join the MND Association and collaborate with top universities like King’s College London.
- Benefits: Gain experience in a secure research environment with advanced statistical tools.
- Other info: Work within a certified Trusted Research Environment with excellent career development opportunities.
- Why this job: Make a real impact on MND research and improve lives through your expertise.
- Qualifications: Advanced skills in epidemiology, biostatistics, and programming in R or Python 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 King’s 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 King’s 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
Epidemiological Consultant in Northampton employer: Motor Neurone Disease (MND) 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. With a strong commitment to employee growth, a supportive work culture, and access to advanced analytical tools within a secure research environment, you will be empowered to make meaningful contributions to the understanding of motor neurone disease. Join us in our mission to improve lives through data-driven insights and enjoy the benefits of working in a dynamic and purpose-driven organisation.
Contact Details:
Motor Neurone Disease (MND) Association Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Epidemiological Consultant in Northampton
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, webinars, or local meetups related to epidemiology. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with complex datasets and statistical methods. We want to see you confidently discuss your expertise in R or Python, as well as your work in secure data environments. It’s all about showcasing what makes you the perfect fit!
✨Tailor Your Approach
Before any interview, do your homework! Research the MND Association and their current projects. We recommend preparing specific examples of how your skills align with their needs, especially around harmonising datasets and producing prevalence estimates. This shows you’re genuinely interested and ready to contribute.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed that you won’t find anywhere else. Let’s get you that dream job together!
We think you need these skills to ace Epidemiological Consultant in Northampton
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!
Showcase Your Experience:In your cover letter, don’t just list your qualifications; tell us about specific projects where you’ve worked with health data or in secure environments. We love hearing about real-world applications of your expertise!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your methodologies and findings. Remember, we need to understand your thought process just as much as your results.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity to make an impact in MND research!
How to prepare for a job interview at Motor Neurone Disease (MND) 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 from different sources.
✨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 specific challenges outlined in the job.
✨Communicate Clearly
Since you'll need to document your methodology and communicate findings to both technical and senior audiences, practice explaining complex concepts in simple terms. Consider preparing a brief presentation or summary of a past project to demonstrate your ability to convey information effectively.
✨Familiarise Yourself with the TRE
Since the role involves working within a Trusted Research Environment, it’s crucial to understand the governance and compliance aspects. Research the King’s College London TRE and be prepared to discuss how you would ensure adherence to security standards while conducting your analyses.
