practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen More ❯
Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and More ❯
Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and More ❯
Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and More ❯
Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and More ❯
GitHub, DevOps tools) with a commitment to early commits and frequent deployments.Preferred Qualifications:Experience with Docker or containerized applications, particularly multi-container architecture.Experience with biological or scientific data (e.g., genomics, transcriptomics, proteomics) or pharmaceutical industry experience, especially in designing data visualisations.Knowledge of agent-based approaches (e.g., LangGraph, PydanticAI, AutoGen).If you're looking for a role where your skills will More ❯
tools) with a commitment to early commits and frequent deployments. Preferred Qualifications: Experience with Docker or containerized applications, particularly multi-container architecture. Experience with biological or scientific data (e.g., genomics, transcriptomics, proteomics) or pharmaceutical industry experience, especially in designing data visualisations. Knowledge of agent-based approaches (e.g., LangGraph, PydanticAI, AutoGen). If you're looking for a role where your More ❯
Strong experience with modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) Preferred qualifications: Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Bioinformatics expertise, familiarity with large scale bioinformatics datasets Experience using Nextflow pipelines Knowledge of NLP techniques and experience of processing unstructured data, using vector More ❯
with unit testing (e.g., pytest) and automated quality checks Understanding of agile software delivery and collaborative development Nice to Have: Experience with bioinformatics or large-scale biological data (e.g., genomics, proteomics) Familiarity with orchestration tools such as Airflow or Google Workflows Experience with containerisation (Docker) Exposure to NLP, unstructured data processing, or vector databases Knowledge of ML and AI-powered More ❯
modern development practices (git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with More ❯
have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based systems What You'll Bring A track record of delivering clean More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Aspire Life Sciences Search
equivalent practical expertise in areas such as generative AI, deep learning, or computational biology Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics Demonstrated success in leading high-impact AI projects and delivering real-world solutions Exceptional communication skills, capable of engaging with both technical and non-technical stakeholders Experience training large generative More ❯
cambridge, east anglia, united kingdom Hybrid / WFH Options
Aspire Life Sciences Search
equivalent practical expertise in areas such as generative AI, deep learning, or computational biology Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics Demonstrated success in leading high-impact AI projects and delivering real-world solutions Exceptional communication skills, capable of engaging with both technical and non-technical stakeholders Experience training large generative More ❯
technologies and methodologies, integrating improvements to enhance performance, throughput and cost-efficiency. Essential Knowledge, Skills and Experience: A PhD (or equivalent industry experience) in a relevant field, such as genomics, molecular biology, synthetic biology, cell biology, or computational biology. Hands-on experience with next-generation sequencing technologies (e.g., Illumina, Oxford Nanopore). Proven ability to develop, adapt, and troubleshoot sequencing More ❯
value of our unique collection of data and predictions in real-time Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in 12h). - Deliver declarative components for common data ingestion, transformation and publishing techniques More ❯
the value of our unique collection of data and predictions in real-timeAutomation of end-to-end data flows:?Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in 12h). - Deliver declarative components for common data ingestion, transformation and publishing techniques More ❯
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
and bioinformaticians working closely together with biologists and scientists. The UniProt resource is one of the most internationally used protein databases serving a large and diverse research community in genomics, proteins and proteomics. As part of your daily work, you will be developing a new database management system and software for UniProt data. You will be working in the design More ❯
closely with other parts of the organisation who also are involved in development and maintenance of infrastructure and software, including Programme Teams, Engineering & Enablement, Surveillance Systems, Data Services & Quality, Genomics, Enterprise Architecture and the Development and Operations team. The DD&A team supervises and actively develops solutions and data architecture which meet both our own and wider strategies and design More ❯
renewal.Technology clients include, emerging technologies, AI, IOT, Fintech, data analytics, IT software, wireless technologies, autonomous vehicles. Science clients include life science, biotech, digital health, clinical trials, biopharma, med tech, genomics, diagnostics, digital health. They have an enviable reputation and client base, and are looking for an Account Executive/Director to inherit an existing book of clients, as well as More ❯
The Ellison Institute of Technology (EIT) tackles humanity's greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and robotics in an era of artificial More ❯