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Computational Biologist/Bioinformatician

Salary Range
£44,414 - £52,841
£3,701 - £4,403 / mo
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This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

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Location Base
Oxford, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
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Position Overview & Specifications

We are seeking a highly motivated and talented Computational Biologist with experience in Next Generation Sequencing data analysis and machine-learning and/or statistical modelling to join our group to study the underlying rules of T cell receptor interaction with MHC presented peptides by leveraging multimodal single cell data from various cutting-edge technologies. Familiarity with TCR/BCR or antigen data is desirable but not essential for this post.
The research in our group is focused on the use of systems/quantitative immunology to foster a better understanding of the mechanisms underpinning the regulation of adaptive immune system in healthy individuals. The aim of these studies is to pave the way to further our knowledge of functional and molecular mechanisms linked to dysregulation of the immune system in serious human health challenges such as cancers, infectious/autoimmune diseases and aging.
This position offers a unique opportunity to collaborate and/or network with world-leading scientists from various disciplines, including but not limited to the labs of T cell immunology (Prof Ogg); Gastroenterology (Prof Simmons), Statistics and Protein Informatics (Prof Deane), Structural Immunology (Prof Rossjohn) and Single Cell Immunology (Dr Antanaviciute).
You will hold a PhD/Dphil of relevance to systems and quantitative immunology experience of research within bioinformatics. A strong background in machine-learning/or and statistical inference and/or data science is essential. You will possess the ability to independently plan and manage a research project. A background or knowledge in T and B cell Immunology and experience of computational biology of immune repertoire data (TCRs and BCRs) is desirable.
What We Offer
  • Flexible working
  • An excellent contributory pension scheme
  • 38 days’ annual leave (including bank holidays)
  • A comprehensive range of childcare services
  • Family leave schemes
  • Cycle loan scheme
  • Discounted bus travel and Season Ticket travel loans
The post is full-time and fixed-term for up to 3 years, with a possibility of extension. Flexible working can be discussed during the interview process.
Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application.
Only applications received before 12:00 midday on Friday 18th August will be considered.

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

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Hiring Organization
University of Oxford

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Location: Oxford, England
Eligibility: UK Work Eligibility
Schedule: College / University
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