One of the country’s leading Research Institutes has released an opportunity for a Senior Bioinformatician to develop a talented, multi-disciplinary informatics team. This outstanding research facility engages with leading academic and commercial partners all over the world, and is involved with renowned national programmes such as the 100K Genome Project and DDD (Deciphering Development Disorders) study.
Responsibilities will include:
-Collaborating with Genomics England, performing expert analysis & interpretation of data generated from the 100K Genome Project, focussing on patients suffering with rare diseases and cancer
-Supervising a growing team of a Bioinformaticians and Research Scientists
-Developing and applying customer bioinformatics tools and pipelines
-Integration of ‘omics data sets
-Application of machine learning methods to explore patterns in complex genome sequencing datasets
This position is ideally suited to an experienced Bioinformatician with:
-A PhD in Bioinformatics, Statistical Genetics, Computational Biology, Machine Learning or a related discipline
– Experience with whole genome sequencing and human genetics is highly desirable
-Strong Post-Doctoral background, with experience in the analysis, annotation and interpretation of genome sequencing data
-Excellent programming ability, with expertise in one of the following languages: Perl, Python, Java, C++, R or similar
-Prior experience supervising a team of bioinformaticians/scientists
This is a fantastic opportunity for a Senior Bioinformatician/Computational Biologist/Statistician Geneticist to take the next step in their career and develop leadership qualities. This position offers the post-holder access to cutting edge technologies, the opportunity to work on internationally renowned programmes such as the 100K Genome Project, and the chance to build on collaborations with leading experts from academia and industry. For more information about the position, call Emilie on 0121 616 3477. To apply for the role, please send a copy of your CV to firstname.lastname@example.org.
Bioinformatics, Oxford, Genomics, Genomics England, 100k Genome Project, Rare Disease, Cancer, Computational Biologist, Statistical Geneticist, Human Genetics
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Job Reference: EFWTBIOOX_1539159497
Broadcast As: 2731
Salary To: Negotiable
Job Type: Full Time
Job Term: Contract
Recruitment Consultant: Emilie Francis