_{23rd January, 2025}

Senior Scientist, Human Genetics

Genetic Epidemiology, Statistical Geneticists, Functional Genomics, Single Cell Genetics, Geneticists, Translational Science, Machine Learning, Genomic Medicine, Drug Targets
  
United Kingdom - London - Knowledge Quarter
Contract position  24 Months with extension likely to 36 Months
Multiple Positions 
Excellent Day Rate 

  
KEMIO are very interested in hearing from  Post Doc (between 1-5 years) for multiple opportunities coming up with our growing client in London. We are excited to be adding to this extremely diverse team who have already hired exceptional people join them from all over Europe and renowned institutes in the US. 
  
Hybrid working is on offer, we would ideally like you to spend time with your team on-site at least 2 days a week. .
  
This team uses genomics and machine learning to expedite the process of drug discovery. The key goals are identifying new drug targets, identifying patient populations, and they are also contributing to drug repurposing. 
  
The current team possesses a wide range of skills, including statistical genetics, genetic epidemiology, deep learning, and comparative genomics across different species.
  
Joining this team you can expect to contribute to:

• Building a scalable open source workflows of statistical genetic tooling, including fine-mapping, colocalization, Mendelian Randomisation, (Transcriptome Wide Association Study)TWAS. Workflows will be delivered and built into an established infrastructure.
• Build tools to systematically integrate Omics datasets and genetic datasets, including scPredXcan via open source solutions.
• Conduct genetic analysis at biobank trusted research environments across UK Biobank, FinnGen, Singapore, that are part of the existing biobank portfolio.
• Provision of genetic expert advice to the inhouse infrastructure and engineering teams, virtually.
• Work across a variety of human diseases, including fibrotic diseases, metabolic diseases, cancer immunology and oncology
• understanding of single-cell phenotypes through genetics and their application in drug discovery
• Patient stratification using machine learning methods 
• Contribute to the strategy of genomics-driven drug discovery and the computational biology

What we are looking for:

• PhD in Human Genetics, Statistical Genetics, Pharmacogenetics, Computational Biology, Computer Science
• 1-5 years post-doctoral experience from an academic institute or industry position supporting computational biology and/or human genetics efforts for drug discovery
• Experience with a variety of omics data, and experience with single cell data is preferred
• Excellent communication in English 
• Programming skills using R, Python or other coding/statistical software

This is a 3 year project on a contract basis. 

Send through your CV and contact information for an informal discussion with our team! 
  
Keywords: Genetic Epidemiology, Statistical Geneticists, Functional Genomics, Single Cell Genetics, Geneticists, TWAS, Translational Science, Machine Learning, Genomic Medicine, Drug Targets, Pharmaceutical, Biotechnology, Cambridge,, Oxford, London.

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