Note to candidates: the list below describes a strong profile, not a set of hard requirements. If you do not match every point but believe you are a strong candidate, please apply.
Parallel Bio is redefining human-first drug discovery. Our platform runs high-throughput immune organoid experiments to accelerate the development of new therapeutics. What makes that valuable is not the engineering of the system itself. It is recognising what these models show that simpler systems cannot, and designing experiments whose outputs connect to decisions in drug development. The most common failure in platform biology is invisible: technically sound experiments that never ask a question only this system could answer.
We are looking for a scientist with a broad immunology background who understands how immune function emerges at the tissue level, who has enough proximity to drug development to recognise translatable evidence, and who designs experiments that produce it. Disease-specific expertise is welcome but not expected. Breadth matters more, since the programme will move across indications as it develops.
The high-level goals for this role are threefold:
1.
Build and validate immune organoid models, from tissue handling and cell isolation through to functional immunological readouts.
2.
Advance disease modelling on the platform and improve immune system modelling, assay design and integration with other biological systems.
3.
Make experimental work reproducible and well enough documented to transfer, and partner with the automation and computational teams as the platform scales.
This is a hands-on research role with a high degree of independence. The project is one to own end to end: designing and executing the experiments, making the scientific and technical calls that move the work forward, and running several workstreams in parallel. The work is at the bench, running the experiments as well as designing them, with the hands-on element expected to stay constant as the team grows. Note that maintaining cell cultures and experimental continuity requires some weekend work on a rotating basis.