Statistical Geneticist - London
This is an exciting opportunity to join an established but growing pharmaceutical company. They are looking for an expereinced Statistical Geneticist to join their passionate team.
Their work focuses on targeting serious rare diseases, searching for effective treatments and therapies to benefit the lives of many children and adults. By searching for therapies that are the first or best of their kind their goal is to make a meaningful impact on patients' lives.
This company are looking for someone with a background in Statistical Genetics and who has experience in analysis of large-scale genomic data. The main aim of this role is to drive the generation of omics data (including WGS) within their clinical trials. This role does not just focus on technical aspects as the pipelines have already been established, the role will include more communication with the clinical teams as well as the development and exploration of hypothesis.
The main responsibilities of this role include:
*Relationship building across clinical and research teams whilst also working across different therapeutic areas
*Managing the collection of genomic samples ensuring the correct samples are available for multiple projects.
*Explore hypothesis using WGS and other omics data
*The development of new approaches to the use of genomic data
*PhD in Statistical Genetics or related field and relevant work experience in industry
*Previous experience in analysis of whole genome sequence data and/or performing large GWAS
*Ability to lead your own research projects, ideally within clinical genomics
*Good communication skills for liaising with internal and external partners
*Good analytical skills (e.g Python, R, Shell) and experiencing using HPC
This an exciting opportunity to join an enthusiastic team who are passionate about the research they do and are keen to find like minded individuals. As this is a relatively new focus for this company it provides a fantastic opportunity for someone to influence strategy and procedures.
If you would like to apply or hear more about this opportunity, please do not hesitate to contact me either via email firstname.lastname@example.org or phone 01216163466.
Furthermore, if you are interested in hearing about other roles within the Bioinformatics and Genomics industry, please feel free to contact me for a confidential discussion.
Keywords; Statistical Geneticist, Bioinformatics, Stat Gen, Genomics, Geneticist, Clinical Geneticist, GWAS, WGS, Rare diseases, Python, R, Shell, Europe, London.