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Data Scientist/Epidemiologist

UCL - Institute of Health Informatics (IHI)

About us

UCL established the Institute of Health Informatics (IHI) in August 2014 in the Faculty of Population Health Sciences, under the leadership of Professor Harry Hemingway. The Institute of Health Informatics is part of the UCL Faculty of Population Health Sciences, which is part of the School of Life and Medical Sciences. The aim of the Institute of Health Informatics is to conduct high quality research that leverages big data and health and bioinformatics approaches to improve health at local, national and international levels. During the pandemic IHI research has informed policy in cancer services, public understanding of risk and in care homes.

Our cutting-edge programmes of research span the areas of Discovery Science, Precision Medicine, Learning Health Systems, Public Health and Citizen Driven Health. These programmes of research are underpinned by: excellent secure data infrastructure; adding value to key linked data resources to make data research-ready; development of multidisciplinary methodological expertise; engagement with patients, the public and health services; strong local, national and international academic partnerships and excellent multidisciplinary training programmes.

The Institute leads major programmes within the recently announced, 5-year, £90m NIHR UCLH/UCL Biomedical Research Centre (BRC), CALIBER, Health Data Research UK (HDR UK), Genomics England Electronic Health Records Clinical Interpretation Partnership (GeCIP), Big Data@Heart, among others.

About the role

In this role you will be:

  • Generating estimates of occurrence (prevalence, incidence) and outcome (including standardised mortality and morbidity ratios, years of life lost)
  • Developing, validating and reporting risk prediction models at scale using regression based and machine learning approaches
  • Designing and analysing ‘diseasome’-wide association studies• Iteratively generating re-usable data visualisation (e.g. scatter, Circos, Manhattan plots) pipelines
  • Building sustainable analytical pipelines/developing code that can be readily used by others, maintained and extended

The post is funded until 31 March 2025.

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job.

About you

  • First degree and MSc in relevant quantitative discipline (e.g. data science, epidemiology, biostatistics, computational medicine) or relevant working experience is essential for this position.
  • You will have a proven publication track record as lead or co-author in a relevant area of research.
  • You will have advanced statistical skills in R, relevant to estimation of risks in populations and individuals, and the ability to prepare data visualisations for scientific and clinical audiences
  • It is desirable that the candidate has knowledge of electronic health record standards and controlled clinical terminologies (ICD-10, SNOMED-CT).
  • Ability to write code that clearly expresses its purpose, and is readily used by others maintained and extended. If you believe you meet the requirements why not come and be part of this unique and exciting opportunity and be part of something where you feel included, valued and proud.

What we offer

As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:

  • 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
  • Additional 5 days’ annual leave purchase scheme
  • Defined benefit career average revalued earnings pension scheme (CARE)
  • Cycle to work scheme and season ticket loan
  • Immigration loan
  • Relocation scheme for certain posts
  • On-Site nursery
  • On-site gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. The UCL Ways of Working for professional services supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please seewww.ucl.ac.uk/ways-of-working to find out more.

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level. Our department holds an Athena SWAN Bronze award, in recognition of our commitment and demonstrable impact in advancing gender equality.

Job ref: B02-03907

Closing date: 16-Dec-22 – 23:59 (UK time)

Location: London, Work from Home
Salary: £38,308 to £46,155
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 25th November 2022
Closes: 16th December 2022
Job Ref: B02-03907
   
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