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Senior Research Fellow – Health Research Data Engineer @ UCL

London, HybridHybridContractPosted 180 days ago

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About this role

About us

Join Us as a Senior Research Fellow at the UCL Institute of Health Informatics

Are you passionate about data-driven research and improving health outcomes?

Come join the Institute of Health Informatics (IHI) – a vibrant, collaborative environment at the heart of UCL’s world-leading Faculty of Population Health Sciences.

The UCL Institute of Health Informatics (IHI) was established in August 2014 within the Faculty of Population Health Sciences. Our mission is to conduct high-quality, data-intensive research to improve health outcomes locally, nationally, and globally.

IHI delivers one of the UK’s largest and most highly regarded teaching programmes in health informatics and health data science. We are also proud to host one of the four UKRI Centres for Doctoral Training in AI in Healthcare, supporting the next generation of leaders in the field.

The Faculty of Population Health Sciences is UCL’s largest research-based faculty, comprising eight institutes dedicated to advancing health through innovative research and education.

Learn more at www.ucl.ac.uk/population-health-sciences

About the role

We’re looking for a Senior Research Fellow to join our team and help shape the future of health informatics. You’ll play a key role in developing the next generation computational pipelines for defining and evaluating disease phenotypes in complex health data.

A full list of responsibilities can be found on the attached job description

This is a full-time post (36.5 hours/week), funded until 31 December 2026, with the possibility of extension.

About you

If you believe you meet the requirements, come and be part of this unique and exciting opportunity and contribute to our mission to improve health outcomes through research.

You’ll have:

A PhD in a relevant discipline or similar level of experience Excellent knowledge of the Python scientific programming stack (e.g. pandas, numpy, jupyter, spark) and best practices for software development (e.g. version control, unit tests). Experience working with relational databases, SQL, and Spark for manipulating electronic health record and clinical data, ideally in an Secure Data Environment. Commitment to high quality academic research. Self-motivated and ability to work on own initiative.

Your application must include a CV and a supporting statement and it will be assessed on how you evidence the essential and desirable criteria in the job description. Please see the attached job description and person specification for more information.

What we offer

At UCL, we believe work should fit around life – not the other way around. That’s why we offer flexible working options, including part-time roles and job-sharing opportunities wherever possible.

But it’s not just about flexibility – it’s about feeling rewarded, too.

When you join UCL, you’ll enjoy:

41 days of holiday (pro rata for part-time staff) – that’s 27 days of annual leave, 8 bank holidays, and 6 closure days Cycle to work scheme – save money and stay healthy Season ticket loan – making your commute more affordable On-site gym – fitness made convenient Employee Assistance Programme – for confidential wellbeing support when you need it

Whether you're looking to grow your career or simply find a better balance, UCL could be the right place for you.

Learn more about our full range of benefits at: ucl.ac.uk/work-at-ucl/reward-and-benefits

Skills

Information Management & LibrarianshipAcademicSocial PolicyHuman & Social GeographyHigher EducationOther Social SciencesSocial Sciences & Social CareMedicine & DentistryOther Information Management & LibrarianshipHealth & Medical

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