Data Analyst

Working hours: 35 hours per week (Hybrid 3 days in office, 2 days from home).

Overview:

Biobank are delighted to be hiring for Data Analysts to join our team in Cheadle owing to the increasing volume and complexity of data contained within the UK Biobank study, the ongoing work to generate whole-genome and whole-exome sequencing for our large cohort, and recent development of our own Research Access Platform.

What’s on offer?

• Competitive salary of £33,000-£39,000 per annum
• 26 days Annual Leave (which increases with length of service) + Bank Holidays
• Modern offices in Stockport with onsite canteen, gym and free parking
• Generous ‘hybrid’ defined benefit/defined contribution Pension Scheme (9.8 % Employee Contribution, 21.6% Employer Contribution)
• Enhanced Maternity/Paternity leave
• Life Assurance cover
• Plus much more (please visit our company website for full candidate brief)

To access the full candidate brief and guidance on our recruitment procedures, please visit our website www.ukbiobank.ac.uk and click on the ‘Learn more about UK Biobank’ tab to navigate to the careers section.

What we do!

UK Biobank is a major international health research resource and registered charity, who make available data on half a million UK participants, to enable research into the prevention, diagnosis and treatment of a wide range of life threatening diseases. We have a unique database that we make available to international researchers, to enable scientific discoveries that improve human health.

We are undertaking a range of world-leading projects to enrich this data and support new scientific discoveries that will change people’s lives.

The role:

These roles are an exciting opportunity to develop your skills and experience in a leading data resource with global impact. We are seeking a suitably qualified and experienced individual to provide data analytical services to our Access, Epidemiology and IT teams and the community of researchers who use the resource. The main responsibilities will involve processing, managing and curating the large amounts of disparate data in the UK Biobank resource, including:

• Cleaning, validating and refining large datasets for validation and inclusion into the UK Biobank resource, including our new Research Access Platform;
• Interrogating the study resource and producing descriptive analyses for internal and external use;
• Supporting researchers in access to and understanding of the UK Biobank resource;
• Incorporation of returned results from researchers into the resource; and
• Providing analytical support to researchers who wish to access the resource.

You will work closely with a multi-disciplinary team of programmers, statisticians, epidemiologists, researchers and administrative staff and will report to UK Biobank’s Senior Data Analyst based in Cheadle, with regular liaison and joint working with UK Biobank’s staff at the BDI. You will have the opportunity to interrogate and resolve issues and challenges associated with large and highly complex real-world data sets, working with leading researchers to enable scientific discoveries that improve human health.

This role is subject to a Basic DBS check

What we’re looking for:

The roles will suit enthusiastic and motivated individuals, with proven data analytical skills.

ESSENTIAL CRITERIA

• An MSc or equivalent in a scientific or numerate subject, or ability to demonstrate equivalent experience.
• Proficiency in using relational databases and writing SQL queries.
• Proficiency in using R statistical software package, and associated libraries such as tidyverse.
• Excellent written and oral communication skills in English, with the ability to present to technical and non-technical audiences.
• Ability to prioritise workload and to work under pressure.
• Excellent problem solving and analytical skills, and ability to prepare and maintain detailed documentation.
• Highly motivated with excellent attention to detail, able to work on own initiative and as part of a multi-disciplinary team.

DESIRABLE CRITERIA

• Understanding of the application of statistical methods to epidemiological studies.
• Understanding and/or experience of the use of health records for medical research.
• Experience in managing large and complex information resources – extraction, conversion, integration and data transfer.
• Experience of programming and/or scripting in a Linux environment.
• Experience of bioinformatics and genetics-related toolsets.
• Experience of working in a multidisciplinary team (e.g. a team involving clinicians, scientists, etc.) and/or in wider collaborative groups.

If you’re interested in joining a non-for-profit organisation that are passionate about having a big impact on human health, and who offer an inclusive and supportive work environment, please apply for this role by following the link below. We would love to hear from you!

To submit your CV, which demonstrates your relevant experience, please click ‘Apply’ now!

Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development