Research Fellow: AI-Driven Mammary Organoid Biology

Cyber Security Academy Southampton; Southampton; On-site; GBP 42,000 - 56,000; Full time

Benefits offered by this job

Generous holiday allowance

University closure days

Flexible working

Healthy work-life balance

USS ( Universities Superannuation)

Subsidised health facilities

Staff discounts

Job summary

The University of Southampton invites applications for a Research Fellow in Cell and Developmental Biology to lead experimental work in a BBSRC‑funded project on mammary epithelial morphogenesis using AI‑integrated human organoid models.

The role combines experimental biology with computational analysis, including single‑cell RNA sequencing, advanced imaging and fate mapping, with collaboration across disciplines.

Qualifications

• Strong experimental experience in cell and developmental biology, including organoid or mammalian cell culture.
• Experience in high-resolution fluorescence microscopy and molecular biology.
• Ability to work collaboratively across disciplines and interpret complex data.

Responsibilities

• Lead experimental research and design within a BBSRC-funded project.
• Perform data analysis and interpretation linking molecular and cellular mechanisms to tissue architecture.
• Work with AI-driven modelling and multimodal imaging; contribute to publications and grant proposals.
• Train colleagues in new methods and advise on scientific protocols.

Skills

Organoid culture

High-resolution microscopy

Molecular biology

Cell/developmental biology

Data analysis

Collaborative

Education

PhD in cell biology or related field

Tools

Single-cell RNA sequencing

Quantitative image analysis

AI-driven analysis

Job description

The University of Southampton invites applications for a Research Fellow in Cell and Developmental Biology to lead experimental work in a BBSRC‑funded project on mammary epithelial morphogenesis using AI‑integrated human organoid models.

The role combines experimental biology with computational analysis, including single‑cell RNA sequencing, advanced imaging and fate mapping, with collaboration across disciplines.