Francis Crick Institutes

Postdoctoral Training Fellow - Gutierrez lab

Salary for this Role:From £38,300

Reports to:Maximiliano Gutierrez

Job Description:Postdoctoral Training Fellow

This is a full-time, fixed term (four years) position on Crick terms and conditions of employment.

The research group

Our group is interested in host and pathogen interactions in tuberculosis with a focus on innate immunity and phagocytosis. We are interested in understanding how M. tuberculosis survive within host cells and the mechanisms that host cells use to eliminate intracellular M. tuberculosis.

Project summary

In our lab, we study how host cells environments dictate intracellular bacteria replication or control and how antibacterial chemotherapies impact efficacy. We are interested in developing new technologies to dissect the complex dynamics of mycobacterial infection across scales ranging from single bacteria, single host cells, 3D in vitro models to infected hosts. We have developed new imaging technologies to visualise the interface between the host and the pathogen.

Postdoctoral Training Fellows are expected to lead their own projects, contribute to other projects on a collaborative basis (both in the lab and with external collaborators) and guide PhD students in their research. The ability to work in a team is essential.

Key experience and competencies

The post holder should embody and demonstrate our core Crick values: bold, imaginative, open, dynamic and collegial, in addition to the following:

Essential

PhD in cell biology or in the final stages of PhD submission

Track record of writing papers as evidenced by publications or submitted manuscripts in referred journals

Evidence of data presentation at scientific meetings

Excellent communication skills, particularly in communicating quantitative concepts to biologists

Ability to work independently and also capable of interacting within a group

Demonstrate continuous integrity, positivity and motivate others to do the same

Desirable

Experience with relevant software tools such as R, Python, or MATLAB as well as relevant machine learning frameworks

Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models, data mining, Bayesian methods, and statistical learning

Multi modal imaging and mammalian cell biology

Hands-on experience in imaging

Strong understanding of image analysis

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