Postdoctoral Fellow (Computational)

Job ID: 82922
Job date: 2018-01-12
End Date:

Company : Wellcome Trust Sanger Institute 

Country :

Role : Postdoc 


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Job Description:
We are looking to appoint a computational post-doctoral fellow who is interested in applying their skills to transcriptomics and genomics. Prior experience of working with next-generation sequencing data is not necessary. We are looking for someone with strong mathematical and/or programming skills who is willing to learn about problems in molecular biology.

  • To carry out development of computational methods for analysis of high throughput genomics data, with a focus on single-cell analysis or regulatory genomics
  • To plan a programme of research that is original but fits within the general research area of the team, taking into account the relevant literature, own experience, and advice from the team leader and other appropriate scientists
  • To carry out the research, developing the practical skills required for successful completion
  • To analyse data and write up results for publication, and to deal with all aspects of the publication process
  • To communicate the results through other relevant means, such as talking or presenting posters at scientific meetings
  • To seek appropriate training, including taking an active part in any training programmes organised for postdoctoral training fellows. This will include transferable skills training
  • To take a full part in the general duties of the team, and to pass on skills and knowledge to other team members and visitors. To take part in wider Sanger Institute activities as appropriate
  • To complete training period in a timely manner, publish the research and document any unpublished data and materials before moving on to a new position
The fellow will help shape the future direction of the research group and have the opportunity to develop their own research projects within the scope of the group’s interests. Supervisor - Dr Martin Hemberg http://www.sanger.ac.uk/science/groups/hemberg-group

Essential Skills:

  • PhD (or equivalent) in Quantitative Biology, Mathematics, Physics or Computer Science
  • Ability to independently solve complex scientific/technical problems and manage scientific projects
  • Programming skills (e.g. R, C, Python, Julia, Java, Matlab) Mathematical modelling or machine learning
  • Excellent communication skills
  • Self-motivation and diligence
  • Good publication track record
Ideal Skills:
  • Ability to train and develop others in scientific techniques, including working with an international interdisciplinary group of scientists
  • Experience with cloud computing


Requeriments :

Skills :

Areas :


Additional Info:
Fixed term for 3 years

The Hemberg group is primarily interested in developing quantitative methods and models for analysing gene expression and gene regulation. We are particularly interested in working with data generated from high-throughput technologies, making sure that the software used to analyse this data is computationally and statistically rigorous.

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