Salary: Grade 8: £40,792 - £48,677 with a discretionary range to £53,174 p.a.
Applications are invited for a Bioinformatics/Statistical Analyst to join the JDRF/Wellcome Diabetes and Inflammation Laboratory (DIL) at the Wellcome Centre for Human Genetics.
The DIL aims to treat and prevent the causes of the common autoimmune disease, type 1 diabetes (T1D), in which 50% of cases are diagnosed under age 18 years and consequently run the highest risk of serious complications. This unmet clinical need requires an understanding of the underlying mechanisms of disease. You will play a key role in the DIL by applying your skills and passion for functional genomics to understand how susceptibility to T1D is determined by variation of HLA class II genes and other genes we have identified. You will use and develop statistical tools and methodologies to analyse existing and emerging data types as new technology becomes available, such as single-cell RNA sequencing data, ATAC-seq and capture C.
You will be responsible for developing hypotheses with the group, accessing appropriate datasets for which to test these hypotheses, carrying out robust statistical analyses on datasets and drawing accurate conclusions. This will involve collaborations with groups of similar disciplines, working together to pursue shared interests. You will be responsible for translating robust science into high impact publications, writing manuscripts to be submitted in peer-reviewed journals. In addition, you will be assisting with helping other members of the group access the datasets they would like to use, as well as formatting data for group members in an appropriate and workable format. You will be expected to contribute to writing research proposals.
You will have a first degree in a relevant subject area (e.g. computer science, bioinformatics, mathematics, medical statistics, statistics), substantial experience and a strong track record of applying statistics and programming in a scientific environment with extensive knowledge and working understanding of statistical concepts and tools. You will have expertise in one or more programming languages (for example bash, R, C, Python); experience working with a variety of genetic data, across a number of different software, with an up-to-date knowledge of the current best practices for handling genetic data; experience with genetic manipulation software, for example PLINK and experience with high-performance cluster computing for analysis of large datasets. It is also essential that you have excellent communication skills, including writing for publication and ability to present work at group meetings as well as the ability to manage the day-to day running of a research project working both independently and as a part of a team.
The post is available until 30 September 2020 in the first instance and funded by the Wellcome.
Depending on experience, this post may be offered at Grade 7 (£32,236 - £39,609 with a discretionary range to £43,267 p.a.) with reduced responsibilities.
For informal inquiries please contact Dr Olga Platonova, Research Programme Administrator (email@example.com).
Applications for this vacancy are to be made online. Please quote reference 139386 on all correspondence.
Only applications received before 12.00 midday on Friday 22 March 2019 can be considered.