The Open Targets team at our 10 year anniversary celebration in October 2024
Join our team!
Open Targets is based on the stunning Wellcome Genome Campus, home to some of the world's foremost institutes and organisations in genomics and computational biology. We work in dynamic teams at the interface of academic and pharma industry science on a crucial problem, how to be more successful in making drugs. Working with us, you will be exposed to new technologies and a dynamic set of scientists dedicated to translational research.
Our posts are usually in either one of our academic partners, The Wellcome Sanger Institute or EMBL-EBI and have terms and conditions associated with the employer.
Important note: applications may be reviewed on an ongoing basis and the advertised post(s) may be filled before the stated deadline.
Postdoctoral Fellow – Birney Research Group
Application closing date: 8 December 2024
Lead a research project building upon innovative AI approaches to define gene x drug exposure x phenotype relationships at scale over continuous time in large human cohorts. We are looking for a highly motivated bioinformatics expert or data scientist to join this exciting project, and to drive specific aspects of this cutting-edge research, including the analysis of population scale genetic cohorts with electronic healthcare and prescriptions records. You will be based in the Birney research and Open Targets groups at EMBL-EBI and work closely with the Gerstung group at DKFZ.
Advanced Research Assistant/Technical Specialist (dependent on experience)
Application closing date: 10 January 2025
Do you have expertise in human-induced pluripotent stem cells (hiPSCs), molecular biology, and, ideally, in vitro infection models?
Join the wet lab team of the Haniffa Lab (haniffalab.com), and contribute to a collaborative project with the Lotfollahi Lab (https://lotfollahi.com/). Your primary role will focus on optimizing protocols to introduce perturbations and evaluate their effects in a skin organoid model derived from hiPSCs. As part of this position, we will support the successful candidates to develop their computational skills and learn concepts about machine learning.