Department of Physiology, Anatomy and Genetics, Institute of Developmental and Regenerative Medicine (IDRM), IMS-Tetsuya Nakamura Building, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7TY
Contract & job type: Fixed-term for 3 years, full-time
About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed not only to innovative research and the highest standard of teaching, but also to creating an inclusive and supportive working environment.
We are seeking a Senior Postdoctoral Research Scientist and Image Analyst to join the Srinivas group. The ideal candidate will be an expert at analysis multidimensional image volumes. In this role, you will be responsible for collaborating with experimental biologists on analysing microscopy data of developing embryos. This post is available immediately and is fixed term for 3 years.
Develop research questions within a specific context, conduct individual research, analysing detailed and complex qualitative and/or quantitative data from a variety of sources, and generate original ideas by building on existing concepts
Develop, establish, and pursue appropriate analytical protocols and techniques to support research
Regularly write research articles at a national level for peer-reviewed journals, book chapters, and reviews. Present papers at national conferences, and lead seminars to disseminate research findings
Agree clear task objectives, organise, and collaborate with other members of the team and coach other members of the group on specialist methodologies or procedures
Share responsibility for shaping the research group's plans and the writing of group-funding applications for new research projects
Provide information to project stakeholders and represent the research group at external meetings/seminars, either with other members of the team or alone
Carry out collaborative projects with colleagues in partner institutions, and research groups
Member of departmental committees advising on scientific and management matters for the department
Use scientific equipment in a laboratory environment
Hold a PhD/DPhil in a relevant discipline
Strong publication record and familiarity with the existing literature and research in the field
Possess sufficient specialist knowledge in the discipline to develop research projects and methodologies
Ability to independently plan and manage a research project, including a research budget
Ability to raise research funds through making grant applications
An ability to foster a collaborative and inclusive research environment for people from different backgrounds
Extensive post-qualification research experience working with volume image data
Familiarity with creating virtual reality-based approaches for visualising volume image data
Experience working in an interdisciplinary environment
Some basic familiarity with questions in developmental biology
The ability to code in multiple languages, for the purpose of generating user-friendly image analysis and visualisation workflows, and collaborative software development. Experience with a wide range of libraries/frameworks and cloud infrastructure tools.
Familiarity with Machine Learning, Neural Network and AI driven image analysis methods
Experience with data management for large data sets (compression, archiving).
Your wellbeing at work matters, so we offer a range of family friendly and financial benefits including:
Hybrid working
An excellent contributory pension scheme
38 days annual leave
A comprehensive range of childcare services
Family leave schemes
Cycle and electric car loan schemes
Employee Assistance Programme
Membership to a variety of social and sports clubs
Discounted bus travel and Season Ticket travel loans
Please provide a supporting statement outlining how you meet the selection criteria along with your CV, and the details of two referees as part of your online application.
The closing date for applications is 12 noon on 26 March 2026.
Interviews are likely to take place during the week commencing 06 April 2026, and will be face to face or held on Microsoft Teams depending on the applicant's location.
Applications are particularly welcome from women, black and minority ethnic candidates who are under-represented in academic posts in Oxford.
Tagged as: Life Sciences
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