21 of 21 Permanent Bioinformatics Jobs in London

to internal tooling and infrastructure to support experimentation and deployment Publish original research and contribute to the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding More ❯

to internal tooling and infrastructure to support experimentation and deployment Publish original research and contribute to the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding 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. 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 ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers More ❯

directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers 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 ❯

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 ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and More ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and More ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and More ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and More ❯

genomes Develop, train, and benchmark transformer-based and foundation-model approaches for genome representation Conduct rapid, iterative research , evaluating ideas through experiments rather than long production cycles Collaborate with bioinformatics, microbiology, and software teams to integrate models into GenomeKey’s diagnostic pipeline Analyse large-scale proprietary genomic datasets to ensure model robustness and interpretability Generate and evaluate synthetic and real … Contribute to broader R&D initiatives such as statistical framework design and data infrastructure development What We’re Looking For Required MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience) Demonstrated ability to apply ML methods to biological or genomic data Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn Understanding … of bioinformatics workflows (e.g. genome assembly, QC, annotation) Experience working with large or complex genomic datasets Familiarity with model evaluation, benchmarking, and explainability Ability to work autonomously, design experiments, and iterate quickly Strong communication skills for cross-functional collaboration Why Join? Work on a genuinely novel problem - genomic anomaly detection for clinical diagnostics Combine academic-level research with startup agility More ❯

genomes Develop, train, and benchmark transformer-based and foundation-model approaches for genome representation Conduct rapid, iterative research , evaluating ideas through experiments rather than long production cycles Collaborate with bioinformatics, microbiology, and software teams to integrate models into GenomeKey’s diagnostic pipeline Analyse large-scale proprietary genomic datasets to ensure model robustness and interpretability Generate and evaluate synthetic and real … Contribute to broader R&D initiatives such as statistical framework design and data infrastructure development What We’re Looking For Required MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience) Demonstrated ability to apply ML methods to biological or genomic data Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn Understanding … of bioinformatics workflows (e.g. genome assembly, QC, annotation) Experience working with large or complex genomic datasets Familiarity with model evaluation, benchmarking, and explainability Ability to work autonomously, design experiments, and iterate quickly Strong communication skills for cross-functional collaboration Why Join? Work on a genuinely novel problem - genomic anomaly detection for clinical diagnostics Combine academic-level research with startup agility More ❯