Research Associate in Data Science and Analysis

7 months ago

Manchester, United Kingdom The University of Manchester Full time

**Do you like to analyse large datasets?** Do you want to work for an enthusiastic team of researchers and epidemiologists providing valuable information on pharmacovigilance and long-term safety of advanced medicines for arthritis? Do you want to work at an institution where flexible working and hybrid working is a possibility, with generous annual leave allowance? If so keep reading

An exciting opportunity has arisen for a Research Associate in Data Science and Analysis working on long-term pharmacovigilance registers for adults with rheumatoid arthritis (RA) and children and young people with arthritis (Juvenile Idiopathic Arthritis) who are being treated with advanced therapies. The Biologic Studies Group (BSG) has over 20 years’ experience of hosting some of the largest real-world biologic observational studies in the world and is viewed as the gold standard for this type of data capture in rheumatology. The data are also being expanded through linkage of the datasets to other validated national healthcare data resources, such as those held by NHS Digital including Hospital

We need a researcher who understands working with large datasets, including cleaning, data wrangling, and analysis of data, who has an excellent eye for detail and who can present and publish their findings at conferences and in journals. Day to day you will generate standard reports for the funders, as well as working on your own research analyses. You will be able to make a major contribution to this important area whilst extending your own experience, research skills and building your CV. You will assist study staff, students and external stakeholders working on the data. Excellent communication skills are required to effectively tailor and convey information to these groups including lay audiences where required.

A PhD (or equivalent experience) in data science, epidemiology or a related discipline is required. You should have excellent organisational skills and the ability to work well both in a team and using your own initiative. Other keys skills include a proactive approach to work, problem solving and the ability to provide solutions. Experience of using statistical software is desirable, with a willingness to understand confidential data and research ethics.

**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 more here

Hybrid working arrangements may be considered.

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

**Enquiries about the vacancy, shortlisting and interviews**:
Professor Kimme Hyrich (Director) or Dr Kath Watson (Programme Manager)

**General enquiries**:
**Technical support**:
**Please see the link below for the Further Particulars document which contains the person specification criteria.

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