Research Associate in Digital Epidemiology

The University of Manchester
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Post-Doctoral Research Associate

Assistant/Associate Professor in Cyber Security/Artificial Intelligence/Computer Games Development

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (Manager)

Applied Research - Artificial Intelligence - London - Associate

We are seeking a skilled and proactive research associate in digital epidemiology to support the MRC-funded national network ‘Health Research from Home’ (HRfH), focused on the use of smartphones and wearables for population health research. The post will suit an ambitious researcher with a background in epidemiology, biostatistics or health data science and an interest in conducting novel mobile health research. The postholder will lead literature reviews of current practice in smartphones and wearables for population health research, actively participate in working groups defining future best practice, and contribute to the conduct, analysis and evaluation of two pioneering projects linking digital patient-generated health data with more traditional data sources.

The HRfH partnership involves academics and public contributors from Manchester (lead site), King’s College London, Imperial College London, Edinburgh, Oxford and Cambridge Universities, in collaboration with Health Data Research UK, Google, Verily Life Sciences and GSK. The network aims to collate, spread and define best practice in smartphone and wearable population health research to the wider community, and to pioneer the successful linkage of smartphone and wearable data to existing health research databanks.

The postholder will be involved in three primary activities. First, conducting an ongoing literature review of studies using smartphones and wearables for population health research. This will lead to peer-reviewed publication(s) as well as an accessible repository of articles for the emerging HRfH community. Second, the post-holder will be responsible for the development and delivery of an evaluation plan examining how digital patient-generated health data can be linked successfully to other data sources. This will be primarily learning lessons from the two driver projects within HRfH (Physical Activity Patterns after Knee Arthroplasty (PAPrKA) and long-term outcomes of COVID), with additional input from other projects within the wider community. The applicant will also actively contribute to the analysis of PAPrKA, an innovative retrospective cohort study linking historical data about knee replacements with historical tracked physical activity data. Third, they will participate in and, where needed, lead work within forthcoming expert Working Groups that will define best practice in areas of key importance for Health Research from Home, such as the representativeness of study populations.

What you will get in return:

  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out morehere

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof Will Dixon

Email:

General enquiries:

Email:

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.


Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.