At a Glance
- Tasks: Conduct audits and analyses of health data to improve MND prevalence estimates.
- Company: Join the MND Association, a leader in supporting those affected by Motor Neurone Disease.
- Benefits: Work in a secure environment with opportunities for impactful research and collaboration.
- Other info: Collaborate with top universities and contribute to vital health research.
- Why this job: Make a real difference in the fight against MND through your expertise in epidemiology.
- 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 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 Kettering 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 Kettering
✨Tip Number 1
Network like a pro! Reach out to professionals in the epidemiology field, especially those connected to MND or similar organisations. Attend relevant conferences or webinars to make connections and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with complex datasets and statistical methods. Use real examples of your work to demonstrate how you can add value to the MND Association.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the MND landscape and current research. Be ready to discuss how your expertise aligns with the role and how you can contribute to their mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at the MND Association.
We think you need these skills to ace Epidemiological Consultant in Kettering
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. We’re keen on seeing how you’ve applied these in secure data environments. Be specific about your experiences and projects!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Motor Neurone Disease Association
✨Know Your Data Inside Out
Before the interview, dive deep into the datasets mentioned in the job description. Familiarise yourself with the MND Register, Hospital Episode Statistics, and any other relevant databases. Being able to discuss specific data points or trends will show your expertise and enthusiasm for the role.
✨Brush Up on Statistical Methods
Make sure you’re well-versed in advanced statistical methods like capture-recapture techniques. Prepare to discuss how you've applied these methods in past projects. This will demonstrate your practical experience and ability to tackle the complexities of the role.
✨Prepare for Technical Questions
Expect technical questions related to epidemiology and biostatistics. Practice explaining your analytical processes clearly and concisely. Use examples from your previous work to illustrate your problem-solving skills and how you’ve documented your methodologies.
✨Show Your Collaborative Spirit
Since this role involves working closely with teams at Kings College London and Oxford University, be ready to discuss your experience in collaborative environments. Highlight any past projects where teamwork was key to success, and express your eagerness to contribute to a high-impact collaborative effort.
