This team uses genomics and machine learning to expedite the process of drug discovery.
23rd January, 2025
Senior Scientist, Human Genetics 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 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.
The key goals are identifying new drug targets, identifying patient populations, and 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 scalable open source workflows of statistical genetic tooling, including fine-mapping, colocalization, Mendelian Randomisation, and Transcriptome Wide Association Study (TWAS). Workflows will be delivered and built into an established infrastructure. Building tools to systematically integrate Omics datasets and genetic datasets, including scPredXcan via open source solutions. Conducting genetic analysis at biobank trusted research environments across UK Biobank, FinnGen, and Singapore, that are part of the existing biobank portfolio. Provision of genetic expert advice to the in-house infrastructure and engineering teams, virtually. Working 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. Contributing to the strategy of genomics-driven drug discovery and computational biology. What we are looking for:
PhD in Human Genetics, Statistical Genetics, Pharmacogenetics, Computational Biology, or 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! #J-18808-Ljbffr
Senior Scientist, Human Genetics 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 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.
The key goals are identifying new drug targets, identifying patient populations, and 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 scalable open source workflows of statistical genetic tooling, including fine-mapping, colocalization, Mendelian Randomisation, and Transcriptome Wide Association Study (TWAS). Workflows will be delivered and built into an established infrastructure. Building tools to systematically integrate Omics datasets and genetic datasets, including scPredXcan via open source solutions. Conducting genetic analysis at biobank trusted research environments across UK Biobank, FinnGen, and Singapore, that are part of the existing biobank portfolio. Provision of genetic expert advice to the in-house infrastructure and engineering teams, virtually. Working 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. Contributing to the strategy of genomics-driven drug discovery and computational biology. What we are looking for:
PhD in Human Genetics, Statistical Genetics, Pharmacogenetics, Computational Biology, or 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! #J-18808-Ljbffr
