1 to 25 of 39 Bioinformatics Jobs in London

would be a plus: PhD - in a STEM subject and experience in related field i.e. Statistics, Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data landscape in healthcare (EHR, claims data, real world More ❯

you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: 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 AI/ML engineer. Experienced in developing deep learning models for solving real world scientific problems. For example, creating a More ❯

in research, regulatory, clinical and 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 trials. Clinical, pharmacological, and therapeutic More ❯

in research, regulatory, clinical and 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 trials. Clinical, pharmacological, and therapeutic More ❯

generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem-solving skills and critical thinking Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), and cloud deployment experience Familiarity with Agile methodologies If you're interested in joining as our new Head of AI, we More ❯

generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem-solving skills and critical thinking Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), and cloud deployment experience Familiarity with Agile methodologies If you're interested in joining as our new Head of AI, we More ❯

GPUs or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from More ❯

this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development, Method More ❯

now.If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development, Method More ❯

preferred) Strong problem-solving skills and ability to think critically about AI research challenges Excellent strategic planning skills Additional Skills (desired but not required): Experience with protein or DNA bioinformatics MLOps experience Software engineering skills and knowledge of data pipelining (e.g. via Airflow) and prior experience of cloud-based ML model deployment Experience with Agile systems Apply for the job More ❯

of our other UK offices (London, Cardiff or Cambridge). We are looking for a Data Scientist who has: a degree in a relevant discipline or equivalent experience (e.g. bioinformatics, computational biology, computer science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and More ❯

least 2 years in biotech, healthcare, or life sciences Strong understanding of biological data types (e.g., DNA/RNA sequences, protein structures, cell images) Experience working with open-source bioinformatics tools and APIs Comfortable building end-to-end ML pipelines in cloud environments Familiarity with regulatory considerations in clinical or research settings (e.g., HIPAA, GxP More ❯

closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity with More ❯

architectures. Collaborate with experimental teams to design and validate computational hypotheses. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity with More ❯

on GCP Hands-on experience optimizing the use of fleets of hardware accelerators Experience with low level hardware specific optimization for deep learning Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data Culture and values We are guided by our shared values. It's not about finding people who think and act in the same way. More ❯

on GCP Hands-on experience optimizing the use of fleets of hardware accelerators Experience with low level hardware specific optimization for deep learning Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data Culture and values We are guided by our shared values. It's not about finding people who think and act in the same way. More ❯

and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform (GCP) and BigQuery. Proficiency in working with and querying global scale datasets. Experience working with bioinformatics, life sciences, or geospatial data. Strong understanding of software engineering best practices, including version control (e.g. Git), CI/CD, and testing. Strong understanding of MLOps principles and monitoring and More ❯

areas of the organization to make better decisions. Minimum Qualifications: - Ph.D. or equivalent doctoral degree in a relevant field, such as Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, Bioinformatics, or a related discipline. - 10+ years of experience in AI-related research and development, with at least 5+ years in a leadership role, with a proven track record of translating More ❯

areas of the organization to make better decisions. Minimum Qualifications: - Ph.D. or equivalent doctoral degree in a relevant field, such as Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, Bioinformatics, or a related discipline. - 10+ years of experience in AI-related research and development, with at least 5+ years in a leadership role, with a proven track record of translating More ❯

one of the world's largest and fastest-growing metagenomic datasets, sourced from our global expeditions and partnerships. Using this extensive resource, our team runs petascale deep learning and bioinformatics pipelines across cloud and HPC infrastructure to uncover novel enzymes, explore new biology, and solve complex biotechnology challenges for our partners. We have a strong focus on automation and scalability More ❯

around naming, versioning, data lineage, and retention Translate regulatory and licensing requirements into clear, actionable workflows and promote compliance best practices across teams Professionally, you have A background in bioinformatics and/or scientific data management and/or data engineering and/or product/project management in data domains, with five years of relevant professional experience Familiarity with 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 ❯

development of new approaches in; cancer genomics research with deep learning; and possible downstream related domains, by applying your technical, analytical and research skills. You will understand the underlying bioinformatics tools and follow the latest developments in machine learning at scale to identify the right technologies and set the directions to solve the problems, improve the existing solutions and take … years of experience in machine learning, and deep learning (natural language processing and computer vision) in industry. Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering (Python, Pytorch, JAX, Docker, Linux). A willingness to learn and develop skills in computational genomics including building an understanding of biological concepts More ❯

with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and bioinformatics, integrating them into ongoing research While pharma/biotech or consultancy industry experience is preferred, this role could also suit a recent PhD graduate or junior post-doc researcher with … or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows Strong programming skills in R or Python, with experience in statistical libraries and bioinformatics tools Familiarity with biobank-scale datasets and genomic databases Experience with cloud platforms and scalable computing environments A publication record that reflects methodological contributions to the field Good communication skills … this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Method, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development More ❯

with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and bioinformatics, integrating them into ongoing research While pharma/biotech or consultancy industry experience is preferred, this role could also suit a recent PhD graduate or junior post-doc researcher with … or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows Strong programming skills in R or Python, with experience in statistical libraries and bioinformatics tools Familiarity with biobank-scale datasets and genomic databases Experience with cloud platforms and scalable computing environments A publication record that reflects methodological contributions to the field Good communication skills … this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Method, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development More ❯