At a Glance
- Tasks: Conduct detailed audits and harmonise datasets 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 research environment with opportunities for impactful contributions.
- Other info: Collaborate with top universities and contribute to groundbreaking 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 Northampton 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 and your expertise can lead to meaningful change.
Contact Details:
Motor Neurone Disease Association Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Epidemiological Consultant in Northampton
✨Tip Number 1
Network like a pro! Reach out to professionals in the epidemiology field, especially those connected to the MND Association. Attend relevant conferences or webinars to make connections and learn more about the industry.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work with complex datasets and statistical methods. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses. Focus on articulating your experience with epidemiological methods and how they relate to the role.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Epidemiological Consultant in Northampton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Epidemiological Consultant role. Highlight your experience with complex datasets and any relevant projects that showcase your epidemiological expertise. We want to see how you can bring your unique skills to our team!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in R, Python, or any other analytical tools you've used. We’re looking for someone who can handle advanced statistical methods, so be sure to provide examples of how you've applied these skills in past roles.
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 and how you communicate complex information to different audiences.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure it gets to the right people. Plus, you’ll find all the details you need about the role and our mission to support those affected by MND!
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 these datasets are structured and any common issues that arise when reconciling them. This will show your potential employer that you’re not just knowledgeable but also genuinely interested in the role.
✨Showcase Your Analytical Skills
Prepare to discuss specific statistical methods you’ve used in the past, especially those relevant to epidemiology like capture-recapture techniques. Be ready to explain how you’ve applied these methods to real-world data and the impact of your findings. This will demonstrate your hands-on experience and analytical prowess.
✨Communicate Clearly and Effectively
Since you’ll need to document methodologies and communicate findings to both technical and senior audiences, practice explaining complex concepts in simple terms. Consider preparing a few examples where you successfully communicated your findings to non-technical stakeholders. This will highlight your ability to bridge the gap between data and decision-making.
✨Understand the Importance of Governance
Familiarise yourself with the governance and disclosure control requirements of working within secure research environments. Be prepared to discuss how you ensure compliance with data security standards in your previous roles. This will reassure the interviewers that you take data privacy seriously and can navigate the complexities of working with sensitive information.
