4 of 4 Remote/Hybrid Biology Jobs in London

reproducible workflows. Support responsible AI practices and data governance standards. Ideal Background Essential Degree in a scientific or technical discipline such as Physics, Chemistry, Biology, Engineering, Mathematics, or Data Science. If from a Computer Science background, proven exposure to scientific or experimental data. Working knowledge of Python (pandas, NumPy). ...

platform for end-to-end product development, covering R&D, QC, and PLM. We help scientists and product teams in materials science, chemistry, and biology move faster — from first experiment to finished product. We're looking for a motivated graduate to join our UK sales team as an SDR. This ...

next-generation AI platforms to accelerate drug discovery and precision medicine. Backed by top-tier VC, they combine cutting-edge machine learning with experimental biology to unlock new therapeutic pathways across oncology and rare diseases. Their team works across computational biology, machine learning, and wet-lab science -working closely … cloud platforms (AWS, GCP, or Azure) Ability to work in a cross-functional, fast-paced startup environment Nice to Have Background in bioinformatics, computational biology, or related field Experience with genomics pipelines or tools (e.g. FASTQ, BAM, variant calling) Knowledge of protein structure modelling or drug discovery workflows Exposure ...

Company This venture-backed biotech startup is developing AI-driven platforms to transform drug discovery and precision medicine. Operating across machine learning and experimental biology, they are focused on extracting meaningful insights from complex biological systems to accelerate therapeutic development across areas such as oncology and rare diseases. With strong … approaches (deep learning, representation learning, etc.) Experience leading projects or mentoring engineers in a team environment Nice to Have Background in bioinformatics, computational biology, or life sciences Experience with drug discovery, protein modelling, or genomics pipelines Familiarity with MLOps, CI/CD, and scalable cloud infrastructure Exposure to graph-based ...