Research Associate: Protein NMR

Job Description

This role provides an exciting opportunity to work, in collaboration with a lab in Tuebingen, Germany, on a BBSRC funded project entitled ‘A robust pipeline for characterising multiple conformations of proteins in solution’. You will express and purify several target proteins, and collect NMR data, most importantly a carbon shift NOESY but also the standard protein structure experiments (NOEs, RDCs, hydrogen bonds etc). You will set up a computational pipeline for calculating trial structures and selecting the minimal set of conformations needed to describe the populations in solution. As a member of the research group you will have roles in lab and spectrometer management along with attending conferences, presenting talks and posters, and collaborating in writing up the research for publication.

Applicants must have a PhD in structural biology (or a related discipline), along with experience in protein NMR. Computational skills, record keeping and experience of working as part of a team are also essential.

What We Offer:

● 41 days annual leave (including closure days and Bank Holidays), with the possibility to purchase up to ten additional days.
● Up to 5 days of paid time off to cover emergency caring responsibilities.
● A highly competitive pension scheme.
● Discounts at participating shops and cinemas, and a cycle to work scheme.
● A commitment to your development, with programmes, learning modules and mentoring schemes.
● An inclusive and diverse workplace.
● A commitment to your wellbeing, with confidential emotional support, support for those going through the menopause, experiencing fertility treatment and having a baby, paid leave for IVF treatment and more.

Further information can be found at

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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