7 of 7 Remote/Hybrid Biology Jobs in Cambridge

code quality and reproducibility across the programme Contribute to publications, IP and conference presentations What we're looking for Essential PhD in bioinformatics, computational biology, or related fields, followed by substantial experience (8+ years) in industry or academia Current, hands-on coding expertise in Python and/or R. ...

methodologies to design and optimize new molecules. Communicate findings in team and project meetings PhD (or equivalent experience) in Computational Chemistry, Medicinal Chemistry, Structural Biology, or related discipline. Strong understanding of drug discovery and SBDD. Experience with molecular modelling software (e.g. Schrödinger, MOE, OpenEye, Cresset, or similar). Familiarity with ...

person who'll sit with a scientist to understand what they actually need. It’s a bonus if you have: Experience in drug discovery, biology, or another life science domain Familiarity with knowledge graphs or reasoning over structured or heterogeneous data Experience building evaluation harnesses or testing strategies ...

Cambridge Biomedical Campus, our dynamic research community includes the University of Cambridge’s Clinical School, major hospitals, the MRC Laboratory of Molecular Biology, and AstraZeneca’s global headquarters. Commitment to Diversity: We are dedicated to increasing diversity within our staff, promoting equitable representation, and supporting hybrid working arrangements. We particularly ...

About the Team The Chemical Biology Resources Team at the European Bioinformatics Institute (EMBL-EBI) is looking for a talented Scientist with a flair for data curation to be responsible for the quality of bioactivity and drug discovery data in the ChEMBL database. ChEMBL is a world-leading chemogenomics resource … apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to publicly available ...

they do not meet the stated academic or experience criteria. Working knowledge of NGS methods used in research. Candidates with HTS, assay development, molecular biology or structural biology backgrounds will also be considered. Experience with workflow optimisation in genomics, drug discovery and structural biology. Right to work ...

analytical infrastructure develops. About you: You will have a PhD and an established independent research record in statistical genetics, computational biology, statistics, machine learning, epidemiology or a related quantitative discipline, with substantial expertise in AI/ML methods for building disease predictors from high‐dimensional biological and clinical data … mediated inflammatory disease, longitudinal cohort design, treatment response prediction, or work in industry or a healthcare setting. Essential Skills: PhD in statistical genetics, computational biology, statistics, mathematics, machine learning, epidemiology or a related quantitative discipline Extensive experience in an applied research or technical development environment, with a significant track record ...