Research Fellow in Epidemiology/health Data Science
2 months ago
**Ref Number**
B02-06770
**Professional Expertise**
Research and Research Support
**Department**
School of Life & Medical Sciences (B02)
**Location**
London
**Working Pattern**
Full time
**Salary**
£42,099-£50,585
**Contract Type**
Fixed-term
**Working Type**
Hybrid
**Available For Secondment**
No
**Closing Date**
30-Apr-2024
**About us**:
UCL established the Institute of Health Informatics (IHI) in August 2014 in the Faculty of Population Health Sciences. The aim of IHI is to conduct high quality data-intensive research to improve health at local, national, and international levels.
**About the role**:
The Institute of Health Informatics is looking to appoint a Research Fellow in Epidemiology/Health Data Science to join our welcoming and vibrant Institute.
***This position presents a unique opportunity to join a team of experienced health data scientists, informaticians, statisticians and clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources.
The Research Fellow will work closely with our expert team to help deliver a new project aiming to define and analyse all diseases which are captured in structured health records (“The Disease Atlas”). The postholder will be responsible for planning and conducting data analysis using data from a range of sources to understand disease-treatment indications and produce interactive visualizations of the results generated.
The post is full time (36.5 hours per week) and the post is funded until May 2025, further funding may become available.
**About you**:
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.
You must have a PhD in epidemiology, data science or other related field. You will have strong statistical analysis (using R) and programming skills (e.g. in Spark either via Python or SQL) applied to large scale health record data from hospitals or primary care.
Experience of analysing ICD-10-coded health record data and/or experience of developing data visualisation pipelines is essential.
**What we offer**:
We will consider applicates to work on a part time, flexible and job share wherever possible.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:, 41 Days holiday (pro rata for part time staff) (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, employee assistance programme: Staff Support Service, discounted medical insurance
**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.
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