bit.bio is an award-winning spinout from the University of Cambridge. Our breakthrough technology combines synthetic and stem cell biology for the precise, efficient and consistent reprogramming of human cells used in research, drug discovery, and cell therapy. At bit.bio, we are passionate about engineering human cells that will enable the medicine of the future. To do this we need talented and curious people who want to make an impact on the future of science and therapeutics.
As a team of individuals, we value science, collaboration, openness, curiosity and creativity. We are united by trust and respect for each other.
Location: Babraham Research Park, Cambridge
Type: Full time, permanent
Salary: Competitive / Hours: 40 p/w
Lab based position
Your role in our team:
The specialised Cellular Phenotyping Team are looking for a Scientist for our flow cytometry team. The individual should be motivated to provide assistance to scientists while having an influence in setting up good working practice and standard.
The post holder will primarily focus on flow cytometry, in particular standard operations, scientific support in experimental set up, acquisition, analysis and instrument maintenance. They will have a good understanding of flow cytometry and a willingness to extend competence in cell phenotyping, or a great drive to learn and quickly be able to demonstrate independence in the planning and delivery of the role. A core part of the work will include cell sorting with a focus on cellular phenotyping and characterisation, with involvement at all stages of the experiment lifecycle from initial planning through to execution and analysis.
While opportunities may arise for own projects, the focus of this role is that of helping the cellular phenotyping team to deliver high quality data and excellence in service to the company. We are a group of scientists passionate about our work, with demonstrated track record and willingness to help, support and mentor.
Your key responsibilities will include:
Cell Sorting using BD Melody and BD Fusion devices.
Flow cytometry sample acquisition using conventional and spectral cytometers.
Staff training (flow cytometry principles and operation of BD instruments).
Cell culture (training will be provided).
Sample preparation and cell staining.
Cellular phenotyping and characterisation.
Analysis of flow cytometry data.
Have a Bachelor or Master’s degree in a relevant field of Biological Sciences (or equivalent).
Are self-motivated and able to manage own workload.
Are enthusiastic and demonstrate willingness to learn new techniques and expand competence.
Are able to work as part of a team and have team spirit.
Demonstrate organisational rigour with an interest in innovating processes.
Have good scientific communication.
Have a passion for scientific impact.
With essential experience in...
Understanding of the principles of flow cytometry.
Previous experience with cellular phenotyping, in particular flow cytometry in either academic or biotech settings.
Demonstrated training in laboratory processes involving flow cytometry.
Demonstrated track record of interaction with flow cytometry facilities and/or acquisition of own experiments with flow.
Experience with flow cytometry analysis software (such as FlowJo, Diva, FCSExpress, Cytobank etc).
Demonstrated experience with cell sorting devices.
More reasons to join us:
bit.bio provides a vibrant and dynamic work environment in an exciting, fast-moving time for biology. We work with cutting edge technologies and with our world-leading scientific advisory board. We conduct pioneering work with real-world impact.
We trust our people to make significant contributions early on with opportunities to be involved in projects that are key to the success and growth of our young company. We invest in people, creating opportunities for personal development in an inclusive multi-skilled team with ambitious goals that provide opportunities to learn on the job from each other.
Creativity and open minds are encouraged for everyone to contribute to the success of the company.
For information on how we will manage your data please see our Candidate Privacy Notice - https://www.bit.bio/privacy