We are looking for an experienced bioinformatician who will work within the Centre for Trophoblast Research (CTR) Bioinformatics Facility and assist in supporting approximately 30 research groups focussing on aspects of maternal-fetal interactions during pregnancy.
The applicant should be familiar with established bioinformatic analytical pipelines, as well as the use of Linux, high performance computing and general programming in Perl, Python and/or R. The applicant should be motivated to learn new skills if necessary, as well as be an excellent communicator, for s/he will need to work well in a team and collaborate with other researchers and students. The role will encompass providing advice on experimental design, statistics, bioinformatics data visualisation, and analysis. The applicant must also be highly organised, documenting their work clearly and using code repositories e.g. Git. (Training will be provided if necessary)
Applicants should have a PhD in a relevant discipline (e.g. life sciences). Previous experience in RNA-Seq, epigenetics or trophoblast research would be an advantage.
Key Tasks: - Running established bioinformatics pipelines (.e.g. RNA-Seq, Whole Genome) - Analysis of data sets using Bioconductor/R packages - Presenting and explaining bioinformatics results to CTR members - Assisting with preparation and delivery of teaching materials
Fixed-term: The funds for this post are available for 3 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form. http://www.jobs.cam.ac.uk/job/15588/
Please ensure that you upload your full Curriculum Vitae (CV) including list of relevant publications and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Deadline for applications is Sunday 03 December, 2017.
Limit of tenure: 3 years starting 1 January 2018.
The applicant should be familiar with established bioinformatic analytical pipelines, as well as the use of Linux, high performance computing and general programming in Perl, Python and/or R. The applicant should be motivated to learn new skills if necessary, as well as be an excellent communicator, for s/he will need to work well in a team and collaborate with other researchers and students. The role will encompass providing advice on experimental design, statistics, bioinformatics data visualisation, and analysis. The applicant must also be highly organised, documenting their work clearly and using code repositories e.g. Git. (Training will be provided if necessary)
Applicants should have a PhD in a relevant discipline (e.g. life sciences). Previous experience in RNA-Seq, epigenetics or trophoblast research would be an advantage.
Key Tasks: - Running established bioinformatics pipelines (.e.g. RNA-Seq, Whole Genome) - Analysis of data sets using Bioconductor/R packages - Presenting and explaining bioinformatics results to CTR members - Assisting with preparation and delivery of teaching materials
Fixed-term: The funds for this post are available for 3 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form. http://www.jobs.cam.ac.uk/job/15588/
Please ensure that you upload your full Curriculum Vitae (CV) including list of relevant publications and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Deadline for applications is Sunday 03 December, 2017.
Limit of tenure: 3 years starting 1 January 2018.