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Postdoctoral Fellow

Wellcome Sanger Institute - Vento-Tormo Group

Contract Length: 3 Years

The Opportunity:

We are looking to appoint a highly motivated computational postdoctoral fellow to join Roser Vento-Tormo’s group at the Wellcome Sanger Institute.

About the Role:

You will lead a project focused on integrating single-cell multiomics and imaging datasets to understand immune development and response to infections. This work will be in collaboration with Dr. Ashraful Haque at the University of Melbourne, Australia.

About Us:

The mission of the Vento-Tormo lab is to implement state-of-the-art genomics & spatial methods to study the composition and dynamics of cellular microenvironments, as well as to develop new computational tools to facilitate interpretation, data analysis and integration of single-cell datasets (www.VenToLab.org). The lab is based at the Sanger Wellcome Institute (WSI) a dynamic, multi-disciplinary, innovative institute in Cambridge (UK) and works closely with other teams single-data within the cellular genetics program and the European Bioinformatics Institute (EBI) to advance in the genomics field.

About You:

You must be familiar with genomics, and will play a vital role in writing up studies. You will have the opportunity to be embedded in a large community of computational and experimental scientists. You will be integrated in the Vento-Tormo lab, a highly collaborative, international work environment with well-experience colleagues in single-cell and spatial data production, analysis and methods development (www.VenToLab.org).

As a Postdoctoral Fellow in the Cellular Genetics Programme, you will be joining a collaborative and cutting-edge environment. The Programme encourages everyone to network and to showcase their research, including at our weekly seminar series. In addition to support from the Sanger core areas of Scientific Operations, Management Operations and ICT, within the Programme the Cellular Genetics Operations teams provide comprehensive multidisciplinary support to help with everything from processing samples, delivering analysis pipelines, to assistance with fellowship applications. The Sanger Institute also supports PDFs by offering various training opportunities, chances to network, and has a PDF committee in place to ensure our PDFs are supported throughout their posts.

 For relevant publications of the team associated to this work, please, see:

  • Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro. Garcia-Alonso L, Handfield L-F, Roberts K, Nikolakopoulou K,…, Bayraktar OA, Teichmann SA, Turco MY, Vento-Tormo R. BioRxiv (2021/425073)
  • CellPhoneDB: Inferring cell-cell communication from combined expression of multi-subunit receptor-ligand complexes. Efremova M, Vento-Tormo M, Teichmann SA, Vento-Tormo R. Nat Protoc. 2020 Apr;15(4):1484-1506.
  • Transcriptome dynamics of CD4 + T cells during malaria maps gradual transit from effector to memory. Soon MSF, …, Haque A.  Nat Immunol. 2020 Dec;21(12):1597-1610
  • Single-cell reconstruction of the early maternal-fetal interface in humans. Vento-Tormo R et al., Nature. 2018 Nov;563(7731):347-353.
  • Immunology in the Era of Single-Cell Technologies. Efremova M*, Vento-Tormo R*, Park JE*, Teichmann SA, James KR. Annu Rev Immunol. 2020 Apr 26;38:727-757.Co-first.
  • Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria. Lönnberg T, Svensson V, James KR, …, Stegle O*, Haque A*, Teichmann* SA. (*Co-senior). Sci Immunol. 2017 Mar 3;2(9):eaal2192.
Essential Skills

Technical Skillset:

  • PhD in relevant quantitative discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Mathematics)
  • Proven understanding and experience in the fields of genomics, data processing and high-throughput data analysis
  • Good record of publications

Competency/Behavioural Skillset:

  • Motivation and ambition to make a personal contribution to GRL research 
  • Excellent communication skills to allow efficient interactions with collaborators 
  • Team player with the ability to work with others in a collegiate and collaborative environment 
  • Ability to effectively prioritise, multi-task and work independently 
  • Demonstrates inclusivity and respect for all 
Ideal Skills
  • Experience with image data analysis 
  • Experience developing statistical methods for the analysis of large data sets, particularly constrained generalized linear models and machine learning methods such as regularised logistic regression, decision trees, or support vector machines 

Other information

Whilst the developments around COVID-19 continue to evolve, the Wellcome Genome Campus is closed for all but essential functions and facilities. 

People remain at the centre of everything that we do and the majority of our staff are now working remotely to ensure continuity of operations, making use of remote communication and collaboration tools.

Interviews will be taking place virtually and the successful candidate should expect to be fully supported through remote on-boarding and working from home until the Campus re-opens to all staff. This approach may vary for individuals located overseas and/or where a visa is required and starting will be based on a number of factors, we will be able to provide specialist advice to those affected candidates.

Application Process:

Please apply with your CV and Cover Letter outlining your suitability for the role.  

Closing Date: 9th February 2021

About Us

The Wellcome Sanger Institute is a world leading genomics research centre. Our findings are used to improve health and to understand life on Earth.

Our benefits:

There’s an attractive benefits package on offer at the Wellcome Genome Campus. We appreciate the importance of achieving work-life balance and support this with a number of family and carer-friendly policies. Plus a flexible working policy for those who may wish to amend their working pattern or arrangement.
As well as the usual benefits you would expect, we go much further:

  • 25 days annual leave (extra 1 day to a maximum of 30 days for every year you work)
  • Auto-enrolment into a generous Group Defined Contribution Pension Scheme, with enhanced company contribution (for more information, see our Pensions page)
  • Up to 2 days annual paid volunteering leave
  • Up to 10 days paid Emergency Carers Leave per year
  • Family friendly environment including options for flexible and part-time working, an on-site Workplace Nursery salary Sacrifice Schemes for pre-school children and Summer holiday club
  • Life Assurance is accessible on day 1 for all 
  • Group Income Protection Scheme (if on a contract exceeding 12 months)
  • Enhanced maternity leave and parental leave
  • Access to substantial number of courses and training events onsite
  • Private Healthcare Scheme 
  • Eyecare and Dental payment plans
  • Concessions and discounts from our corporate perks site

Being part of the Wellcome Genome Campus you will be part of the beautiful working environment with an impressive range of benefits, services and facilities also including:

  • Free bus service to and from Campus, covering various routes around Cambridge, Saffron Walden and surrounding villages
  • A car-share initiative
  • Free parking
  • A number of on-site venues where you can meet, eat and socialise with colleagues
  • A thriving Sports and Social Club which provides members with subsidised access to a gym, tennis courts, sports hall, fitness classes and a vibrant social calendar of events

In 2020 we were awarded an Athena SWAN Silver Award. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

Location: Cambridge
Salary: £32,780 to £41,093
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 14th January 2021
Closes: 9th February 2021
Job Ref: 84108
 
   
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