Chris Cole
@chris1221.bsky.social
Lead scientist, statistical genetics + AI @DeepGenomics. DPhil from @UniofOxford. 🧘☕️🏕
We are hiring a statistical geneticist to develop and apply methods at the intersection of systems biology, genomic AI, and traditional genetic target discovery. CAN/US remote or hybrid, DM me with any questions!
jobs.lever.co/deepgenomics...
jobs.lever.co/deepgenomics...
Deep Genomics - (Senior) Research Scientist - Statistical Genetics
About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug target...
jobs.lever.co
April 29, 2025 at 11:02 AM
We are hiring a statistical geneticist to develop and apply methods at the intersection of systems biology, genomic AI, and traditional genetic target discovery. CAN/US remote or hybrid, DM me with any questions!
jobs.lever.co/deepgenomics...
jobs.lever.co/deepgenomics...
I usually find myself writing about genetics for work but decided to try something different; here's a small #bookreview / reflection after reading Ed Caesar's captivating "The Moth and the Mountain". I had a lot of fun writing this! chriscole.substack.com/p/trauma-at-...
Trauma at the top of the world
Ed Caesar's account of hubris and hope in the Himalayas
chriscole.substack.com
December 3, 2024 at 5:58 PM
I usually find myself writing about genetics for work but decided to try something different; here's a small #bookreview / reflection after reading Ed Caesar's captivating "The Moth and the Mountain". I had a lot of fun writing this! chriscole.substack.com/p/trauma-at-...
Really enjoyed how this group systematically mined the UKB proteomics data -- # of age/gender specific signals seems very high, though unclear on if supported by the cis-QTL MR (could this introduce collider bias?). Also, almost 200 trans-MR hits! What are those?!
www.cell.com/cell/fulltex...
www.cell.com/cell/fulltex...
Atlas of the plasma proteome in health and disease in 53,026 adults
A large-scale proteomics study involving 53,026 individuals maps 2,920 plasma proteins
to 406 prevalent diseases, 660 incident diseases, and 986 health-related traits, identifying
promising biomarkers...
www.cell.com
November 26, 2024 at 12:30 PM
Really enjoyed how this group systematically mined the UKB proteomics data -- # of age/gender specific signals seems very high, though unclear on if supported by the cis-QTL MR (could this introduce collider bias?). Also, almost 200 trans-MR hits! What are those?!
www.cell.com/cell/fulltex...
www.cell.com/cell/fulltex...