1 to 25 of 35 Genomics Jobs in London

private connectivity. Contributions to relevant open‐source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Salary and Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco ...

private connectivity. Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. ...

context of target & biomarker discovery Build and operationalise Omics data products and analytical workflows across transcriptomics, single-cell omics, CRISPR/functional genomics, proteomics and multi-omics datasets Build and maintain Statistical Genetics pipelines, including GWAS ingestion/harmonisation, variant annotation, fine-mapping, colocalsation, Mendelian randomisation, gene burden testing ...

context of target & biomarker discovery Build and operationalise Omics data products and analytical workflows across transcriptomics, single-cell omics, CRISPR/functional genomics, proteomics and multi-omics datasets Build and maintain Statistical Genetics pipelines, including GWAS ingestion/harmonisation, variant annotation, fine-mapping, colocalsation, Mendelian randomisation, gene burden testing ...

model architectures. Experience with Python and PyTorch , or equivalent languages and machine learning frameworks. Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological datasets. Preferred Qualifications : If you have the following characteristics, it would be a plus : Advanced degree ( M aster ...

+ years' e xperience with Python and PyTorch , or an equivalent machine learning framework . Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological datasets. Experience collaborating with stakeholders across multiple teams, functions and geographic regions. Preferred Qualifications : If you have ...

leverage AI productivity tools (e.g., ChatGPT, Gemini, Cloud Code) to accelerate coding, debugging, documentation and other processing workflows. Familiarity with computational biology, bioinformatics or genomics and the associated data types and tools What we offer The chance to improve the lives of cancer patients worldwide by working on Panakeia ...

Bioinformatics Scientist (Microbial Genomics) London (On-site 4-5 days) | Up to £70,000 + Equity | Some flexibility for exceptional candidates We're working with a London-based BioAI company that holds one of the largest proprietary biodiversity datasets in the world. Backed by a major AI infrastructure company ...

Train; Have experience optimising models for inference, including quantisation, distillation and pruning; Nice to have: experience with biomedical data modalities such as genomics, multi‐omics, clinical or imaging data in an ML context; Publications or contributions to open‐source ML projects or tooling. Условия: Hybrid role with approximately 3 days ...

DeepSpeed, FSDP or Ray Train Experience optimising models for inference (e.g. quantisation, distillation, pruning) Preferred Qualifications Experience working with biomedical data modalities such as genomics, multi-omics, clinical or imaging data in an ML context is advantageous Publications/Contributions to open-source ML projects or tooling This ...

DeepSpeed, FSDP or Ray Train Experience optimising models for inference (e.g. quantisation, distillation, pruning) Preferred Qualifications Experience working with biomedical data modalities such as genomics, multi-omics, clinical or imaging data in an ML context is advantageous Publications/Contributions to open-source ML projects or tooling This ...

founding software engineer on the boundary between operational software and intelligence software, and with the founding biology team and the protein and functional genomics vertical leads on the scientific content that AI Scientist consumes. You are the first intelligence team hire alongside the bio-AI specialist, with a junior ...

Novo Nordisk in London is seeking a Sr Data Engineering Professional to develop data pipelines and data products for early research. You will bridge engineering excellence and scientific understanding, enabling data scientists and researchers to ...

Engineer, Technical Account Manager, Product Engineer, Forward Deployed Engineer) Experience in life sciences, biomedical research, or scientific computing. Bonus if you've worked in genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience working in or building trust with academic research institutions, biotech, pharma ...

Genomics seeks a Staff-level head for the analytical data platform and MystraAI integration. You will own reliability, performance, security, and end-to-end data infrastructure, line-managing a small team while staying hands-on. You will lead multi-tenant data systems, expose platform data safely to agents, and collaborate ...

These resources include expansive data storage, thousands of compute cores, and advanced GPU clusters; everything needed to support groundbreaking research in fields such as genomics and bioinformatics. By aligning resources with the needs of a vibrant research community, you'll ensure sustainable growth, efficient data lifecycle management, and robust business ...

such as Senior Technology Analyst, Technology Analyst, Innovation Consultant, Research Analyst or similar Why Outsmart Insight? Advances in all the sciences – from robotics and genomics to climate tech and space exploration – are leaving no aspect of our lives untouched. Global challenges in the 21st Century need science, technology ...

evidence. The Emerging Infections and Zoonoses team is part of TARZET division (TB, respiratory, zoonoses, emerging infections, travel health, rare and imported pathogens genomics public health analysis) within the EEI directorate and is responsible for public health expertise in emerging infections, high consequence infectious diseases, zoonoses and epidemic intelligence. ...

outcomes-driven business cases. The role manages multi-year pursuits from discovery to close, collaborates with solution architects and NHS partners, and advances AI, genomics, and population health use cases within 12–18 month cycles. #J-18808-Ljbffr ...

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping ...

Genomics Programme Manager FTC - 18 Months, London SE1 Job Overview Join Synnovis at a pivotal point in the transformation of genomic medicine across South East London. We are building a future-ready Genomics service that combines a new enterprise LIMS, an in-house Whole Genome Sequencing capability, purpose-designed laboratory … nationally significant programme that will improve patient safety, reduce manual working, strengthen auditability and create the platform for future growth and innovation. As Genomics Programme Manager, you will provide strategic leadership across digital, scientific, operational, infrastructure and commercial workstreams. You will shape the roadmap, direct project managers and specialist leads ...

biology, chemistry, clinical, and data engineering teams to embed computational thinking across the pipeline Drive the design and application of methods spanning genomics, multi-omics integration, structural biology, and/or machine learning for target discovery and validation Own the computational infrastructure, tooling, and data strategy that underpins the science … boards Translate ambiguous biological problems into clear, well-scoped computational projects with measurable outcomes What We're Looking For PhD in Computational Biology, Bioinformatics, Genomics, Computer Science, or a related field Significant experience leading computational biology or bioinformatics teams, ideally in biotech, pharma, or a research-intensive environment A strong ...

Basecamp Research is seeking a Senior Bioinformatics Scientist in London to join the Genomics team. You will define data needs for AI models, ensure high-quality ground truth, and validate foundational model success with rigorous evaluations. You will work with deep-learning, engineering, and translational teams to shape data requirements ...

into deliverables that matter for customers. PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field, with a strong focus on Transcriptomics OR Genomics + ML and 2+ years of industry (non-academic) experience OR MSc in a relevant field and 5+ years of industry experience applying … Transcriptomics OR Genomics problems Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML ) Hands‐on experience with modern ML frameworks such as PyTorch (or equivalent) Leadership experience with small teams to work towards defined roadmaps or projects Excellent communication skills — able ...

dataset versioning. Deliver hands-on leadership on the most difficult and highest-impact data engineering challenges, including integrating novel and complex modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared … third-party datasets and working effectively with external data providers and technology partners. Strong understanding of biomedical and healthcare data domains, such as genomics, transcriptomics, multi-omics, imaging, clinical data, electronic health records or real-world data, alongside an understanding of machine learning data requirements, including versioning, reproducibility and tensor ...