. . "country name"@en . "has site"@en . "Estates identifier" . "Oncology" . . . . . . . "site principal"@fr . "sotto-Organization di"@it . "street address"@en . "AN" . . "Notation3 description of Senior Data Analyst & Administrator (Maternity cover)" . "latitude" . . "2024-11-29T12:00:00+00:00"^^ . . . . "based near" . . """**About the role** An exciting opportunity has arisen for a Senior Data Analyst & Administrator to join the Oxford Molecular Diagnostics Centre (OMDC) for a one-year maternity cover role. You will play a key part in running and managing high- throughput sequencing analysis pipelines, as well as further developing the infrastructure to support those activities within the OMDC. OMDC is a fully accredited laboratory, closely collaborating with the NHS Oxford University Hospitals and the wider University of Oxford cancer research community. In this role, you will work on the analysis of next-generation sequencing data, focusing on targeted, exome, and whole genome sequencing from various platforms. You will be required to develop the OMDC’s AWS environment, ensuring its functionality for the OMDC’s projects and its compliance to relevant regulation (HIPAA / GDPR). Additionally, you will contribute to the development of database and software projects at all stages of their lifecycle. The post holder will be managed by the Laboratory Lead of the Oxford Molecular Diagnostics Centre & Strategic Data Platform Development Lead. The post will be based across two locations: the Oxford Molecular Diagnostics Centre (OMDC), John Radcliffe Hospital, Headington, Oxford, OX3 9DU and the Cancer Centre, Churchill Hospital, Oxford, OX3 7LJ. **About you** You will have a postgraduate qualification with a significant computer science/bioinformatics component or a degree and professional experience of large-scale IT enterprise solutions. You will be proficient in R, Python, shell scripting, and have experience with database utilisation (ideally MySQL). Ideally, you would have experience with cloud environment, such as AWS. The role also requires strong analytical skills, independent approach to problem solving in a constantly changing environment. Excellent communication skills (both written and oral) are essential as well as the ability to work unsupervised and contribute as an effective member of the team to deliver team oriented goals. **What We Offer** As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: * An excellent contributory pension scheme * 38 days annual leave inclusive of bank holidays (pro rata for part time) * A comprehensive range of childcare services * Family leave schemes * Cycle loan scheme * Discounted bus travel and Season Ticket travel loans * Membership to a variety of social and sports clubs **Application Process** If you would like to discuss this role, please contact Helene Dreau at helene.dreau@oncology.ox.ac.uk . You will be required to upload a supporting statement (setting out how you meet the selection criteria), a curriculum vitae and the names and contact details of two referees as part of your online application. Only applications received before noon on **29 November 2024** can be considered. **Committed to equality and valuing diversity** """ . "finance code" . . "Unit price specification"@en . "Fax"@en . . "Department of Oncology" . "Old Road Campus Research Building" . . . . _:Ndd87f0597f48443b8e9b8edf1897dbea "OX1 2JD" . . "in dataset" . . . "University of Oxford" . . . _:N0d974fc72e9a49658d4b03e3683b10b2 "Old Road Campus Research Building" . _:Nfff681eb58db43bf9c5d799e75b1ba99 . "name" . . . . . . "Medical Sciences Division" . "comment" . . . . . _:Ne50c93b97e1942fabec435a61c05a2d4 . . . . . . "2024-11-29T12:00:00+00:00"^^ . _:N0d974fc72e9a49658d4b03e3683b10b2 "OX3 7DQ" . . . . "tiene sede principal en"@es . . . . . "OpenStreetMap feature identifier" . . . . . 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About the role

An exciting opportunity has arisen for a Senior Data Analyst & Administrator to join the Oxford Molecular Diagnostics Centre (OMDC) for a one-year maternity cover role. You will play a key part in running and managing high-throughput sequencing analysis pipelines, as well as further developing the infrastructure to support those activities within the OMDC.

 

OMDC is a fully accredited laboratory, closely collaborating with the NHS Oxford University Hospitals and the wider University of Oxford cancer research community.

 

In this role, you will work on the analysis of next-generation sequencing data, focusing on targeted, exome, and whole genome sequencing from various platforms. You will be required to develop the OMDC’s AWS environment, ensuring its functionality for the OMDC’s projects and its compliance to relevant regulation (HIPAA / GDPR). Additionally, you will contribute to the development of database and software projects at all stages of their lifecycle.

 

The post holder will be managed by the Laboratory Lead of the Oxford Molecular Diagnostics Centre & Strategic Data Platform Development Lead.

 

The post will be based across two locations: the Oxford Molecular Diagnostics Centre (OMDC), John Radcliffe Hospital, Headington, Oxford, OX3 9DU and the Cancer Centre, Churchill Hospital, Oxford, OX3 7LJ.

 

About you

You will have a postgraduate qualification with a significant computer science/bioinformatics component or a degree and professional experience of large-scale IT enterprise solutions. You will be proficient in R, Python, shell scripting, and have experience with database utilisation (ideally MySQL). Ideally, you would have experience with cloud environment, such as AWS. The role also requires strong analytical skills, independent approach to problem solving in a constantly changing environment.

 

Excellent communication skills (both written and oral) are essential as well as the ability to work unsupervised and contribute as an effective member of the team to deliver team oriented goals.

 

What We Offer

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:


  • An excellent contributory pension scheme

  • 38 days annual leave inclusive of bank holidays (pro rata for part time)

  • A comprehensive range of childcare services

  • Family leave schemes

  • Cycle loan scheme

  • Discounted bus travel and Season Ticket travel loans

  • Membership to a variety of social and sports clubs


 

Application Process

 

If you would like to discuss this role, please contact Helene Dreau at helene.dreau@oncology.ox.ac.uk .

 

You will be required to upload a supporting statement (setting out how you meet the selection criteria), a curriculum vitae and the names and contact details of two referees as part of your online application.

 

Only applications received before noon on 29 November 2024 can be considered.

 

Committed to equality and valuing diversity
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