Postdoctoral Research Assistant in Statistical Genetics: Genomic Target Discovery

Updated: 2 months ago
Location: Oxford, ENGLAND
Job Type: FullTime
Deadline: 21 Jun 2021

Location: Nuffield Department of Medicine, Wellcome Centre for Human Genetics, Roosevelt Drive, Headington, Oxford, OX3 7BN

Applications are invited for a Postdoctoral Research Assistant in Statistical Genetics to join Professor Cecilia Lindgren’s group, within the Big Data Institute, Nuffield Department of Women's Health at the University of Oxford. As a Postdoctoral Research Assistant, you will have knowledge and hands-on research experience in statistical genetics.

Your primary responsibilities will include analysis of a wide range of genetics and genomics data sets relevant to PCOS and related traits. You will also be involved in in-silico target identification and target validation and in the interpretation and presentation of key data. There will also be the opportunity to propose and initiate new activities to drive forward discovery efforts. You will be expected to establish best practices within the team and to work independently in a collaborative goal-oriented environment.

You will hold a PhD/ PhD (or close to completion) in mathematics, statistics, computer science, engineering or any other quantitative STEM field(s). Have working knowledge of statistical analysis of genomic data, including genotyping (SNP array) data, and other data related to genome-wide association studies and related analysis packages (e.g. R/SPlus, PLINK, IMPUTE, SNPtest, BOLT-LMM, etc). Experience of working with sequencing data (DNA, RNA etc). Previous bioinformatics experience, including DNA/RNA alignment and data quality control. Familiar with methods for causal inference, including; fine-mapping, colocalization, mediation, and Mendelian randomization.

The position is fixed-term until 30 June 2022 and is funded by the Wellcome.

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

Only applications received before 12.00 midday on 21 June 2021 can be considered. Please quote reference 151125 on all correspondence.


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