4 of 4 Remote/Hybrid Contract Biology Jobs

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 ...

turn complex experimental data into reliable, scalable insights. The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong ...

suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data. The Role You will build and improve Python-based analytical pipelines for diverse bioassay datasets, including biochemical, biophysical and cell-based assays. You will … Develop statistical and modelling workflows, including dose-response modelling, 4PL curve fitting and mechanistic models Build QC, normalisation and data validation frameworks for experimental biology data Support plate-level statistics and analysis of high-throughput assay outputs Translate wet-lab scientific workflows into reproducible automated pipelines Improve data structures, file ...

About the Team Rfam and RNAcentral are key resources for RNA biology, serving tens of thousands of users every year and widely cited in the scientific literature. We are recruiting a Bioinformatics Data Engineer to develop and maintain both the Rfam and RNAcentral databases. They are currently funded … using AI assisted coding tools Ability to apply best-practice software development methodologies Strong communication skills You may also have Knowledge of RNA biology and/or demonstrable practical experience with Rfam, Infernal, R-scape and tools for secondary structure prediction Familiarity with gene annotation or genome feature representation Experience ...