Postdoctoral Fellow - Hinxton, United Kingdom - Springer Nature

Springer Nature
Springer Nature
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Hinxton, United Kingdom

4 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Postdoctoral fellow:


  • Employer
  • European Molecular Biology Laboratory (EMBL)
  • Location
  • Hinxton
  • Salary
  • Competitive
  • Closing date 24 Apr 2024
  • Discipline
Life Science
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia- You need to sign in or create an account to a job.


About the team/job
We are looking for an enthusiastic postdoctoral fellow to join our collaborative project. The Petsalaki group uses network analysis, data integration and machine learning to study human cell signalling.


For this project, which is funded by Open targets, we are collaborating with the Garnett group (Sanger institute) and industry partners such as GSK and Sanofi, to discover combination targets for two types of cancer with unmet need.

We have already finished collecting the largest dual CRISPR guide dataset to date comprising 65,000 gene pairs across two tissue types and approximately 50 cell lines.

We are therefore at the most exciting time in the project, and are looking to understand principles underpinning successful combination gene pairs in cancer and to discover actionable gene pairs that could have an impact in the clinic.


Your role


For this post the selected fellow will be integrating this unique and exciting data with other omics datasets, performing systems level and network-based analyses to interpret and extract value from the data.

They will collaborate with the experimental colleagues at the Sanger institute and with the industry partners for this analysis and to aid in-depth mechanistic follow up studies of selected gene pairs.

They will also be developing an AI-based method (e.g. through graph neural networks) to leverage our unique dataset for the prediction of combination targets beyond the ones measured in our experiments.


You have

  • A PhD in bioinformatics, statistics or related discipline.
  • Extensive experience in python or R programming, network analysis, bioinformatics
  • Excellent communication and collaborative skills

You might also have

  • Familiarity working with CRISPR data
  • Experience in AI/machine learning

Why join us

Do something meaningful

Join a culture of innovation


We are located on the Wellcome Genome Campus, alongside other prominent research and biotech organisations, and surrounded by beautiful Cambridgeshire countryside.

This is a highly collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential.


Enjoy lots of benefits:


Financial incentives:

Monthly family and child allowances, generous stipend reviewed yearly, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances
Flexible working arrangements, including spending 3 days per week in the office
Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)
Generous time off: 30 days annual leave per year, in addition to eight bank holidays
Relocation package including installation grant (if required)
Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)
Family benefits: On-site nursery, 10 days of child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances
Benefits for non-UK residents:Visa exemption and financial support to relocate if you are based overseas.

For more details please see our employee benefits page.

**What else you need to know
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