pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative More ❯
pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative More ❯
pipeline consuming other data products Deliver ML- and data-driven insights on GenAI datasets. Basic qualifications: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development Knowledge of generative AI and large More ❯
version control (git, GitHub, DevOps workflows) Experience 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 More ❯
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 AI/ML-powered applications and containerised development More ❯
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 AI/ML-powered applications and containerised development More ❯
pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development. Knowledge of generative AI and large More ❯
data across teams Requirements Essential: Experience in data engineering Strong Python & SQL skills Experience with Google Cloud or similar Familiarity with unit testing , Git , and Agile Desirable: Experience with bioinformatics or scientific datasets Knowledge of Nextflow , Airflow , NLP , and Docker Exposure to AI/ML applications If the role aligns with your skills and experience, please apply with your updated More ❯
data across teams Requirements Essential: Experience in data engineering Strong Python & SQL skills Experience with Google Cloud or similar Familiarity with unit testing , Git , and Agile Desirable: Experience with bioinformatics or scientific datasets Knowledge of Nextflow , Airflow , NLP , and Docker Exposure to AI/ML applications If the role aligns with your skills and experience, please apply with your updated More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
london (city of london), south east england, united kingdom
BioTalent
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
london (city of london), south east england, united kingdom
BioTalent
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
London (Canary Wharf), United Kingdom Hybrid / WFH Options
UK Health Security Agency
and computer systems delivering existing genomic analysis pipelines. Contribute to expanding deployment of existing analysis pipelines to additional computational platforms as required. Support the identification and sharing of best bioinformatics practice. Accept responsibility for refactoring existing WGS software components. Develop tested, validated and versioned software components for genomic analyses, incorporate into and validate new genomic pipeline versions. Satisfy support requests … technical information, and an ability to communicate complex programmatic and IT issues to non-specialist groups in layman terms.This will include; Internal Substantial interactions with members of the mSCAPE bioinformatics team and other units within the TARZET division Regular interactions with Laboratory scientists, embedded bioinformaticians and epidemiologists, including during incident working. Substantial interactions within DAS and with central IT (ICT … cloud-based resource and utilising UKHSA computing infrastructure. Interactions with collaborating centres, including research and academic institutes, to deliver software process for analysing WGS data. Essential Criteria Degree in Bioinformatics or related life science. Postgraduate training in Bioinformatics, or equivalent. Familiar with Linux/Unix; proficient in the CLI. Knowledge of Next Generation Sequencing technologies and associated bioinformatic analytical approaches. More ❯
