Senior / Principal Statistical Geneticist

Hays Specialist Recruitment Limited ,
London, Greater London
More Details
Job Type: Full-time

Overview

Statistical genetics expert, global pharmaceutical company in London. GWAS/WES/WGS analysis & R/python skills Your new company Hays is exclusively partnered with an exciting pharmaceutical company with a base in London looking to grow their statistical genetics and data science team. You will be working on multiple drug discovery and development projects to better understand and treat a variety of diseases. This company has a track record of innovation and is looking to significantly grow the team over the next couple of years leading to a number of progression and development opportunities. Your new role You'll be joining a team bringing innovative statistical genetics and computational approaches to large genetic / biological data sets to help generate insights and aid drug discovery & development research on cutting-edge projects. You will be carrying out a mix of statistical analysis (eg on GWAS / NGS data) and programming responsibilities to help drive drug discovery, develop new therapies and aid understanding of disease, working across the company's portfolio. This position can be hired at multiple levels, from Senior Scientist through to Associate Director Responsibilities will include (but aren't limited to): Identifying and applying appropriate statistical / computational / bioinformatics methods to enhance the company's pipeline for drug target identification, eg tool, pipeline, algorithm or method development/implementation; Cleaning, integration, analysis and interpretation of large scale genomic / genetic data sets (WES, WGS, RNA-Seq, etc) for projects including target ID / validation, biomarker discovery, patient stratification, etc; Hands-on programming in languages such as R, Python, Perl, etc; Act as a technical specialist on statistical genetics and cross-functional projects; Work with genome browsers, public data repositories, such as UK Biobank, EMRs, etc; Lead technical and strategic projects, with both internal stakeholders and external collaborators; Horizon scanning to understand what cutting edge approaches, eg tools, methodologies, databases, etc are available and lead the development and implementation of these to increase in-house capabilities; Proactively troubleshoot issues and participate in brainstorming sessions; Work closely with colleagues in different departments on projects across the drug development lifecycle. There is also scope to utilise and develop Machine Learning methods / models / approaches for target ID and validation. What you'll need to succeed As well as excellent communication skills, and great problem-solving ability, candidates must have: At least an MSc (or equivalent experience) in statistical genetics, bioinformatics, statistics, machine learning, biology or a related subject. A PhD or similar level qualification is significantly preferred. A track record of working on statistical genetics projects, carrying out hands-on analysis of large genomic/genetic data sets. Experience working with large repositories of genomic / phenotypic data, such as Electronic Health Records, UK Biobank, disease registries, etc. Hands-on scripting/programming skills, ideally with Python or R, but other languages such as Perl or Bash are also acceptable, eg for tool, pipeline, model or package development. A very strong background in working with human / clinical NGS data, eg RNA-Seq, WGS, Exome/WES, GWAS or similar. A track record of working on drug discovery projects, with a preference for pharmaceutical / biotech industry experience. Experience of Machine Learning approaches, eg Random Forest, SVM, regression, clustering, etc would be an advantage for this role. As would experience of eQTL projects. However, neither are an absolute requirement. What you'll get in return The opportunity to make a significant contribution to a well-established company whilst working on a number of drug discovery and development projects, a fantastic working environment, a very generous salary and benefits package, and the chance to make a real difference to patients. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call me on . If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career, as there are multiple statistical, data science and bioinformatics positions available, for both permanent and contract based opportunities. Keywords: bioinformatics, bioinformatician, data, science, statistics, statistical, genetics, genomics, biomarker, drug, discovery, development, GWAS, WGS, WES, NGS, Bayesian, machine, learning, whole, genome, exome, scientist, pharmaceutical, python, R, C, Bash, tool, pipeline, computational, biomarker, PLINK, SNP

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