| Background/ expected impact: UK Health Security Agency (UKHSA) is looking for a data scientist with previous experience in R programming and machine learning (ML) and a strong interest using genomics data for public health. The successful applicant will support a project in collaboration with partners at the University of Glasgow to deploy a pretrained ML model for identifying emerging Avian Influenza (AIV) strains with zoonotic potential – which are able to infect humans – using viral genomic sequence characteristics. The project will strengthen UKHSA operational zoonotic risk capability, by deploying an ML-based early warning tool for zoonotic pathogen risk detection, feeding into UKHSA AIV risk assessment and situational awareness reporting. Outline of duties: Genomic Data Collection and Preparation Data preprocessing and ML feature extraction Code refactoring ML model deployment using Kubernetes OpenShift AI Stakeholder collaboration Effective communication of outputs and technical concepts Expected output(s)/ deliverable(s): The objective is to successfully deploy the pretrained model on OpenShift AI ready and use it on new genomic sequences, ensuring the process is reproducible, documented and reliable. Support for Postholder: UKHSA is an excellent placement opportunity as we have a developed culture of learning and development, fostered in an inclusive environment. To ensure that the postholder has opportunities to expand their skillsets and to develop professionally, we can provide some training in analysis, where required, but we also encourage the student to engage with subject matter experts and other early career researchers (ECR) across the UKHSA. At UKHSA, we have a thriving Early Career Research network led by our CDO Partnerships team. The student will have the opportunity to join and be supported by the ECR network within the UKHSA, and by other ECRs and team members within the host team. |
| Skills and experience required for the role: Essential skills R Programming Ability to write modular code, and follow other best practices Understanding of Machine Learning Familiarity / knowledge of git/GitHub, version control Maths, programming, statistics Evidence of collaboration and independent working Evidence of self-development and application of learning Desirable Familiarity with genomics and utilising genomic data AI Awareness Experience with OpenShift or High-Performance computing |
| How to apply: Closing date for applications: 7th August 2026. We anticipate a short turnaround, as the team is keen to appoint a candidate as soon as possible. Therefore, we expect to send interview invitations and times by 12th August 2026. Application format: CV and a 500 (max) cover letter to evidence how you fit the project requirements, skills and what you can bring to this role. How to submit an application: Send your CV and a cover letter (max 500 words) to the CDO Partnerships Team, UKHSA, CDOPartnerships@ukhsa.gov.uk with the subject line “AIZR ML LISS DTP ” placement application”. Please note this opportunity is being advertised at multiple universities. |
| Recruitment process: The Host Organisation is responsible for processing the applications received for this opportunity and applications will be processed as follows: All applications will be subject to sifting, where Statements of suitability and CV’s will be assessed against the Essential and Desirable skills and experienced required for the role. Applicants who successfully pass the sift will be invited for a short virtual interview on MS Teams. BPSS (Baseline personnel security standard) will be required for this role. Government baseline personnel security standard – GOV.UK In some case, enhanced national security vetting may also be required. (United Kingdom Security Vetting: Applicant – GOV.UK). Civil Service recruitment nationality rules will apply to this position. Civil Service recruitment: nationality rules – GOV.UK The time it takes for us to onboard successful candidates can vary from case to case. It’s reasonable to allow 6-8 weeks from the point of offer to starting a position. |
| Host contact details: Any queries about this opportunity should be addressed to the Host Organisation. CDO Partnerships Team, UKHSA CDOPartnerships@ukhsa.gov.uk – please reference the placement you are enquiring about in the subject heading. |
