1 to 25 of 46 Bioinformatics Jobs in London

Engineering, or related Experience (classroom/work) in Machine learning, Natural Language Processing, Algorithmic Foundations of Optimization, Data Science, Data Mining and/or Bioinformatics Experience with database systems such as SQL, MongoDB Experience on general programming languages: Python, C++, Java, etc. Experience with deep learning, machine learning and NLP More ❯

elements to bring single molecule-based sequence detection to scale. Developing this unique platform requires expertise across a range of fields including Software Engineering, Bioinformatics, Computational Sciences, Electrical Engineering, Mechanical Engineering, Physics, Biology, Chemistry, and related fields. As a Senior Software Developer in Test, you will have the opportunity to More ❯

We are looking for professionals with these required skills to achieve our goals: BS degree in computer science or equivalent quantitative science fields (e.g., bioinformatics, applied math, statistics, engineering) 3+ years of data science and machine learning developer experience in high-velocity, high-growth companies. Alternatively, a strong background in More ❯

modelling is essential. The candidate will be educated to Master’s (required) or PhD degree (strongly preferred), ideally within Toxicology, Computational Chemistry, Computational Biology, Bioinformatics, or related quantitative field. They will present substantial level of relevant experience, which includes: Research experience in the field of drug discovery for evaluating product More ❯

Confluence. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's degree or PhD within Multiomics, Computational Chemistry, Bioinformatics, Computational Biology, Data Science, Computer Science/Software Engineering, or related discipline. Strong analytical and problem-solving skills, with the ability to make data-driven More ❯

commercial teams on the biomarker and/or AI strategy, execution, and delivery of assigned projects. Your Experience · Ph.D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent). · More than 3 years experience in pre-clinical and clinical drug development with extensive exposure to clinical More ❯

constructive collaboration, and innovation within the team. What You Will Bring to the Role MSc or PhD in Computer Science/Engineering, Data Sciences, Bioinformatics, Biostatistics, or any other computational quantitative science. Minimum of 4-6 years of developing data pipelines & data infrastructure, ideally within a drug development or life More ❯

refine computational pipelines for data analysis and visualisation. Contribute to advancing methodologies for interpreting complex biological datasets. Professionally, you have PhD in computational biology, bioinformatics, or a related field. Proficiency in Python for data analysis and computational modelling. Strong problem-solving and analytical skills in handling biological data. Ability to More ❯

. They work in close partnership with our Platforms teams to ensure we have the right tools and ways of working, and with our Bioinformatics teams to ensure the use of appropriate schemas, vocabularies, and ontologies. Key Responsibilities: Lead a team of data engineers in delivering data and knowledge products More ❯

. About you The Research Fellow - Health Data Scientist will hold at least a PhD in a related field (e.g. computer science, health informatics, bioinformatics) or have a similar level of experience in an academic and/or industrial setting, as well as excellent knowledge of the Python scientific programming More ❯

a key member of a fast-moving biotech startup. Required Qualifications and Skills 2-5 years of experience in DevOps with a preference for Bioinformatics environments or similar big data research disciplines. Proficient with the Linux/Unix environment, tooling and user account administration. Proficient with Git and Git platforms More ❯

with a team of expert data scientists. What you'll bring to the team - Education: Bachelor's in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong More ❯

to patients faster than ever before. The Experience You'll Need Essential skills: PhD or equivalent professional expertise in cheminformatics, computational chemistry, computational biophysics, bioinformatics, or a related field at the intersection of computing and drug discovery. Deep understanding of medicinal chemistry principles and their application in drug discovery. Hands More ❯

programming background with rich experience in training, developing and implementing machine learning algorithms, with a strong desire to work on the next generation of bioinformatics and biocatalysis predictive tools. Background in Python and experience with PyTorch; TensorFlow and/or JAX is a bonus, as well as knowledge of other More ❯

including target identification, validation, and translational studies. Develop and apply novel analytical approaches to integrate and interpret diverse data types. Requirements A Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or a related discipline, with 3+ years of relevant postdoctoral or industry experience. Solid programming experience in Python and/or R More ❯

including target identification, validation, and translational studies. Develop and apply novel analytical approaches to integrate and interpret diverse data types. Requirements A Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or a related discipline, with 3+ years of relevant postdoctoral or industry experience. Solid programming experience in Python and/or R More ❯

digital twin technology. Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. Client & Partner Engagement: Support product and service teams in translating AI models into More ❯

computer aided drug design (ideally in an industrial setting) Background in machine learning Ideally, you will also have: Experience in molecular simulation, cheminformatics or bioinformatics Experience with advanced machine learning methods (generative modelling, graph neural networks) Not sure if you meet the requirements? We recognise that great candidates come from More ❯

and evaluations. Additional/Development Areas Model deployment to ensure flexible and scalable inference access to the wider Data Science team. Collaboration with the bioinformatics team to ingest, standardize, and QC data from multiple sources (internal and external) for use in training pipelines. Support for the wider ML team on More ❯

are built in Go, Java, React & MySQL. Preferred Qualifications You have a Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, Bioinformatics or a similar technical field or equivalent. 5+ years of relevant work experience designing, developing, testing and maintaining software. Familiar with at least one general More ❯

digital twin technology. Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. Client & Partner Engagement: Support product and service teams in translating AI models into More ❯

digital twin technology. • Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. • Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. • Client & Partner Engagement: Support product and service teams in translating AI models into More ❯

digital twin technology. • Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. • Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. • Client & Partner Engagement: Support product and service teams in translating AI models into More ❯

digital twin technology. Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. Client & Partner Engagement: Support product and service teams in translating AI models into More ❯

constitute management, audit and control customers of HPC and Technology services Development and Operations Senior Management Local leads in Business Centres and Divisions; particularly Bioinformatics & Microbiology Project teams HPC and Technology staff in associated organisations and regulatory bodies, such as Connecting for Health (NHS etc) Auditors External HPC and Cloud More ❯