A great opportunity is available for a Bioinformatician to join a global Bio-Pharma based in the UK. The client focuses on central nervous system and immunology disorders and aim to tackle unmet medical needs around the world. The client aims to understand the different molecular origins of disease in different patient sub-populations to cater personalised medicine.
You will work closely with the translational bioinformatics team to stratify Alzheimer’s and Parkinson’s Disease patients and build predictive models of disease progression. You will develop and implement novel methods for extracting biologically intuitive genomic features from patient molecular datasets, specifically gene-level and pathway-level measures of mutational burden. These feature sets will be used to stratify patients using unsupervised clustering and develop predictive models of risk and disease progression for Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Parkinson’s Progression Marker Initiative (PPMI) data sets.
*Flexibility, genuine intellectual curiosity, ideation and eagerness to contribute are key elements of the position.
*The individual should have a passion for statistical concepts, data mining, and visualization of biological data types.
*Extensive experience of implementing and executing NGS pre-processing and analysis pipelines e.g. whole genome sequencing, epigenetics and proteomics.
*Familiarity with methods for genetic variant annotation (e.g. SnpEff, VEP) and functional genomics resources (ENCODE and Roadmap Epigenomics).
*Understanding of network biology concepts (community detection) and practical familiarity with common resources (PPI and pathway databases)
*Deep knowledge of scripting in R or Python. Experience of method development in complied languages would be an advantage.
*Confidence programming in a Linux / HPC environment, including shell scripting (bash, tcsh), text processing utilities (sed, awk), and tools for NGS data manipulation (bcftools and samtools)
*Experience of cloud-based NGS pipelining environments such as DNA Nexus and Seven bridges would be an advantage.
Please do not hesitate to contact Harvey Uppal at email@example.com or call (+44) 121 616 3407 to discuss this opportunity further.
Keywords: Bioinformatics, Pharma, Translational, Parkinson’s, Alzheimer’s Epigenomics, Genetics, Genomics, NGS, Python, Statistics, HPC, Linux, SAMtools, Bash, WGS, Machine Learning, Cloud.
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Job Reference: BIOSLO_1518025521
Broadcast As: 18372
Salary To: Negotiable
Job Type: Full Time
Job Term: Permanent
Job Specialism: Science R and D
Recruitment Consultant: Harvey Uppal