Postdoctoral Scientist in Genomic Informatics and Data Science
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Position Overview & Specifications
We are seeking to appoint an enthusiastic and self-motivated post-doctoral researcher to join the Oxford Precision Oncology for Sarcoma team (OxPOS). The post-holder will be based mainly in the Sir William Dunn School of Pathology but will be expected to be involved with the OxPOS team members in Big Data Institute and the Oxford University Hospitals.
You will be working as the lead researcher for genomics in the OxPOS research programme and deliver genomic and ‘omics’ data science analysis for the programme that includes integration and detailed interpretation. The post-holder may also design and execute novel data science approaches towards experimental validation. You will contribute to research grant applications, peer reviewed publications and reports. You may develop research objectives within a clear and discrete area of the wider research programme.
The post-holder should hold a PhD/DPhil in a relevant subject. You should have strong computational data science and genomic informatics skills as well as good understanding of the principles of molecular and cell biology related to cancer. You should possess excellent organisational and time management skills and being able to work independently using your own initiative, and also as part of a team. Excellent interpersonal and communication skills with the ability to interact equally effectively with senior academic staff, researchers and support staff are essential. Experimental experience in forward and reverse genetics, clinical informatics, imaging and image analysis and the cancer are also desirable but not essential.
This full-time post is available until June 2026. If you would like to discuss this role, please contact Prof Bass Hassan via email: bass.hassan@path.ox.ac.uk.
We would particularly welcome applications from experienced researchers who have additional skills, such as managing a team, and independent scientific accomplishments, for which an appointment would be at grade 8 (salary range: £42,149 - £50,296 p.a.). This would be discussed with applicants at interview/appointment where appropriate.
The closing date for applications is 12.00 midday on Tuesday 28 February 2023. Interviews will be held as soon as possible thereafter.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Colleges & Universities
Based on transatlantic hiring benchmarks for Postdoctoral Scientist in Genomic Informatics and Data Science roles across University of Oxford's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Colleges & Universities.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £34,308 - £42,155 bracket, including retirement vesting and health parity.
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