and industry compliance standards Explore and integrate new tools and technologies to keep our platform at the forefront of innovation Collaborate cross-functionally with biology, data science, and therapeutic discovery teams What We’re Looking For We’re seeking someone who combines strong technical expertise with a passion for innovation More ❯
and industry compliance standards Explore and integrate new tools and technologies to keep our platform at the forefront of innovation Collaborate cross-functionally with biology, data science, and therapeutic discovery teams What We’re Looking For We’re seeking someone who combines strong technical expertise with a passion for innovation More ❯
and industry compliance standards Explore and integrate new tools and technologies to keep our platform at the forefront of innovation Collaborate cross-functionally with biology, data science, and therapeutic discovery teams What We’re Looking For We’re seeking someone who combines strong technical expertise with a passion for innovation More ❯
and industry compliance standards Explore and integrate new tools and technologies to keep our platform at the forefront of innovation Collaborate cross-functionally with biology, data science, and therapeutic discovery teams What We’re Looking For We’re seeking someone who combines strong technical expertise with a passion for innovation More ❯
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
We are Europes flagship research laboratory for the life sciences an intergovernmental institution performing scientific research in disciplines including molecular biology, physics, chemistry and computer science. We are an international, innovative and interdisciplinary laboratory with approx. 2000 employees from many nations, operating across six sites, in Heidelberg (HQ), Barcelona, Hinxton More ❯
Employment Type: Permanent, Part Time, Work From Home
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Johnson & Johnson
datasets and complex models efficiently. Familiarity with drug discovery, the clinical development process, and/or expertise in specific therapeutic areas. Experience with disease biology in areas such as cancer, immunology, neuroscience, cardiovascular, or infectious disease, enabling the development of targeted AI solutions. Please note that this role is available More ❯
compelling internal frameworks, services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence. Responsibilities: Designing, building, and evaluating large-scale machine learning systems including data transformation pipelines, feature stores, distributed training More ❯
top-tier labs, with access to cutting-edge sequencing tech, and help shape the future of sustainable agriculture. Experience required: A PhD in bioinformatics, biology, computer science, or similar Skills in stats & coding (R/Python/Perl/etc.) A passion for microbiomes, ecology, or big data Apply now More ❯
top-tier labs, with access to cutting-edge sequencing tech, and help shape the future of sustainable agriculture. Experience required: A PhD in bioinformatics, biology, computer science, or similar Skills in stats & coding (R/Python/Perl/etc.) A passion for microbiomes, ecology, or big data Apply now More ❯
AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field. Strong experience More ❯
bit.bio is an award-winning spinout from the University of Cambridge. Our breakthrough technology combines synthetic and stem cell biology for the precise, efficient and consistent reprogramming of human cells used in research, drug discovery, and cell therapy. At bit.bio, we are passionate about engineering human cells that will enable More ❯
for innovation and operations, aiming for rigorous quality. Collaborate with other leaders at Quotient, constantly seeking ways to innovate and optimize. Qualifications: Ph.D. in biology or related discipline with 12+ years of relevant post-Ph.D. experience with an excellent track record of discovering therapeutic targets in a variety of diseases. More ❯
for innovation and operations, aiming for rigorous quality. Collaborate with other leaders at Quotient, constantly seeking ways to innovate and optimize. Qualifications: Ph.D. in biology or related discipline with 12+ years of relevant post-Ph.D. experience with an excellent track record of discovering therapeutic targets in a variety of diseases. More ❯
with the line manager, any other duties commensurate with the nature of the post - 5% Person Profile Education & Qualifications Requirement: PhD in bioinformatics, computational biology or related subject with experience of working on genomics and transcriptomics data and bioinformatics - Essential Specialist Knowledge & Skills Requirement: Pertinent experience in Linux and in … life science research, training, and innovation focused on understanding the natural world through the lens of genomics. We are building a future where the biology of any organism can be understood by analysing its genome. Our mission is to decode the scale and complexity of living systems so we can … the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides More ❯
Proven experience in life science, lab automation, software, and data engineering-delivering high-throughput workflows and automating processes. Scientific Expertise : Strong understanding of molecular biology, protein engineering, cell biology, and cell-free expression systems. Cross-Disciplinary Collaboration : Ability to engage with diverse teams (e.g., AI, software engineering, and life sciences More ❯
Hinxton, Essex, United Kingdom Hybrid / WFH Options
NLP PEOPLE
disease trajectories and therapeutic responses. This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and new treatment development. Your role The ML Modeller's primary tasks include developing and applying advanced ML … the rare disease research community. Documenting workflows, models, and results for reproducibility and transparency. You have • PhD (or equivalent experience) in Computer Science, Computational Biology, Bioinformatics, or a related field. • Proven track record in developing and deploying ML models for large datasets. • Experience with advanced ML, VAE, GenAI frameworks and … can 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 More ❯
discovery and development of biologics. The ideal candidate will have experience in the development and training of foundational models , applied to single cell, spatial biology, genomics, and related multi-omics. Your Tasks Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal … area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatia l Biology Expertise in utilising GPUs for AI/ML model training You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc More ❯
discovery and development of biologics. The ideal candidate will have experience in the development and training of foundational models , applied to single cell, spatial biology, genomics, and related multi-omics. Your Tasks Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal … area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatia l Biology Expertise in utilising GPUs for AI/ML model training You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc More ❯
discovery and development of biologics. The ideal candidate will have experience in the development and training of foundational models , applied to single cell, spatial biology, genomics, and related multi-omics. Your Tasks Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal … area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatia l Biology Expertise in utilising GPUs for AI/ML model training You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc More ❯
discovery and development of biologics. The ideal candidate will have experience in the development and training of foundational models , applied to single cell, spatial biology, genomics, and related multi-omics. Your Tasks Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal … area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatia l Biology Expertise in utilising GPUs for AI/ML model training You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc More ❯
this role before applying below. The ideal candidate will have experience in the development and training of foundational models, applied to single cell, spatial biology, genomics, and related multi-omics. Your Tasks Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal … relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatial Biology Expertise in utilising GPUs for AI/ML model training You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc More ❯