26 to 50 of 214 Bioinformatics Jobs in England

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision tasks. Strong publication record in top-tier ML/ More ❯

disease experts to align model outputs with meaningful biological insights. What we expect from you Qualifications and Skills PhD degree in Computer Science, Artificial Intelligence, Machine Learning , Computational Biology, Bioinformatics, or a related field. Track record in AI innovation through peer-reviewed publications in method development (e.g., ICLR, NeurIPS, ICML, Nature, Science, Cell or similar). Expertise in training and More ❯

Artificial Intelligence Engineer jobs in Stevenage, England, United Kingdom . Cambridge, England, United Kingdom 1 week ago Cambridge, England, United Kingdom 5 days ago Deep Learning AI Engineer/Bioinformatics - Expression of Interest Cambridge, England, United Kingdom 4 days ago Cambridge, England, United Kingdom 1 week ago Luton, England, United Kingdom 4 days ago Senior Software Engineer, Machine Learning Cambridge More ❯

generative models, including distributed training across GPU clusters or cloud platforms (e.g. AWS, Azure, Lambda) Strong critical thinking, strategic planning, and problem-solving abilities Experience in protein or DNA bioinformatics Proficiency in MLOps and machine learning infrastructure Background in software engineering and data pipelines (e.g. using Airflow) Familiarity with cloud-based model deployment Exposure to Agile project management methodologies This More ❯

Consultant - Drug Discovery - Bioinformatics Join to apply for the Consultant - Drug Discovery - Bioinformatics role at ZS Consultant - Drug Discovery - Bioinformatics Join to apply for the Consultant - Drug Discovery - Bioinformatics role at ZS Get AI-powered advice on this job and more exclusive features. ZS is a place where passion changes lives. As a management consulting and technology firm focused on … networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Drug Discovery Consultant - Bioinformatics ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices … external stake Lead simultaneous client facing projects across ZS Discovery to reinvent pharmaceutical discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems biology Partner with ZS leaders and client service teams to support selling More ❯

networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Drug Discovery Consultant - Bioinformatics ZS's Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices … external stakeholders. Lead simultaneous client facing projects across ZS Discovery to reinvent pharmaceutical discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems biology. Partner with ZS leaders and client service teams to support selling More ❯

remotely for my client, with a daily rate of £560 a day outside IR35 initially for 6 months. Essential Qualifications Bachelor’s and advanced degree (MSc or PhD) in bioinformatics, computational biology, statistics, or a related field with a strong academic record. Technical Expertise Strong problem-solving skills in bioinformatics and data science. Extensive experience in biomarker development and clinical More ❯

researcher to drive innovative and impactful projects leveraging cheminformatics, machine learning, and computational chemistry for drug discovery. The successful candidate will demonstrate strong abilities in cheminformatics and/or bioinformatics, including knowledge of established techniques and cutting-edge machine learning methods for modeling molecular properties and interactions with complex systems. They will also have experience with scientific programming and data … relevant experience including hands-on experience with informatics, machine learning, and computational chemistry applied to drug discovery in the private sector, like biotech or pharma Experience with cheminformatics and bioinformatics methods (e.g., similarity/substructure searching, reaction-based enumeration, sequence alignment, etc.) Experience with molecular property prediction and multi-objective optimization using machine learning and/or deep learning methods … Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate R&D, innovation labs, or academic research An interest in solving scientific problems in chemistry and biology via computational More ❯

discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We are seeking a Machine … machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow More ❯

in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science, computational biology, bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data … drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version control (ideally GitHub). Experience developing and deploying bioinformatics pipelines. Familiarity with cloud computing environments (ideally AWS) for large-scale data analysis. What’s in it for You: London office/lab space Competitive compensation in line with industry More ❯

/RNA sequencing libraries using established and novel chemistries. Developing, optimizing, and troubleshooting molecular biology protocols, including Nanopore sequencing. Preliminary data analysis, quality control, and data visualization using basic bioinformatics tools. Contributing to project planning and execution within our agile research environment. Collaborating effectively with multiple teams across Oxford Nanopore. Providing supportive technical guidance and mentorship to interns and junior … technologies, including library preparation. Direct experience with Oxford Nanopore sequencing platforms and kits. Understanding of the fundamentals of Nanopore sensing technology and current capabilities. Familiarity with computational tools for bioinformatics analyses and data visualization. Knowledge of functional genomics, including nucleotide modifications and genome regulation. We offer outstanding benefits to include an attractive bonus, generous pension contributions, private healthcare and an More ❯

findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands More ❯

findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands More ❯

models, including distributed training across GPU clusters or cloud platforms (e.g. AWS, Azure, Lambda) Strong critical thinking, strategic planning, and problem-solving abilities Desirable Experience in protein or DNA bioinformatics Proficiency in MLOps and machine learning infrastructure Background in software engineering and data pipelines (e.g. using Airflow) Familiarity with cloud-based model deployment Exposure to Agile project management methodologies This More ❯