11 of 11 Remote/Hybrid 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 ...

closely with clinicians to understand and support their reporting and analytical needs Qualifications Mandatory qualifications and experience: A postgraduate degree in computer science, statistics, biology or a related quantitative discipline. Expert R (R Studio) programming skills for manipulation/cleaning, report generation, visualisation of data, statistical analysis and modelling Experience ...

Data Scientist - Contractor (Quantitative Biosciences) Location: Rahway, NJ (Hybrid: 3 days onsite, 2 days remote) Overview Join a cutting-edge and innovative Quantitative Biosciences department focused on advancing drug discovery through computational science, high-throughput ...

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 ...

Developing data analytic pipelines and novel methodologies for scientific applications Cambridge; £45,000 to £75,000 DoE + Benefits This hybrid-style role combines a healthy dose of data science analytics, scientific project understanding and ...

scientific stakeholders in areas such as genomics, NGS, translational research, or multi-omics Strong communication and relationship-building skills Desirable Experience Bioinformatics or computational biology background transitioning into commercial roles Experience in AI/ML, spatial biology, digital pathology, or precision medicine environments Exposure to cloud platforms, data governance ...

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 ...

+ Equity 🧬 AI Biotech Startup | Full-time About Us I'm working with an AI-first biotech company building foundation models for biology and chemistry to radically accelerate drug discovery. By combining probabilistic modelling, large-scale biological datasets, and generative machine learning, they're creating systems capable of reasoning across … similar frameworks Experience training large models on distributed infrastructure Strong software engineering and systems design capabilities Nice to Have Background in computational biology, drug discovery, or bioinformatics Experience working with molecular, genomic, or protein datasets Familiarity with diffusion models, energy-based models, or probabilistic generative methods Publications ...

support to help you make Barcelona home if it's not already. Hard Technical Challenges The company sits at the edge of machine learning, biology, and experimental science. Some of the hardest problems you'll work on include: Learning from sparse biology. Biological data is noisy, expensive, high-dimensional … decisions. We care more about depth, judgment, and evidence of exceptional work than credentials. You may have PhD-level training in machine learning, physics, biology, chemistry, applied mathematics, computational biology, or another systems-oriented discipline. You should have strong foundations in one or more of: applied mathematics, statistics, optimisation, probabilistic ...

Track record of translating cutting-edge research into scalable production systems Highly Desirable Experience applying machine learning to protein engineering, antibody discovery, or computational biology Familiarity with antibody sequence datasets, immune repertoire modelling, or protein language models Experience with structural biology data including AlphaFold, protein embeddings, or molecular simulation outputs … prediction, or therapeutic optimisation workflows Experience with diffusion models, graph neural networks, or generative protein design approaches Publications in machine learning, protein modelling, computational biology, or AI for Science Why Join? Build frontier AI systems focused on one of the most impactful areas in modern biotechnology Help create foundation models ...