12 of 12 Permanent Computational Biology Jobs in London

both technical and non-technical stakeholders, delivered through written documentation and verbal briefings. Minimum qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience.2 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Pytorch). Preferred qualifications … degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience. Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).Experience working with life science data, such as in bioinformatics or health informatics. Familiarity with emerging ...

agentic systems to solve a variety of scientific tasks. Deliver robust, tested, and high-performance code in an agile environment. Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models. Why you? Qualifications & Skills: We are looking for professionals with … these required skills to achieve our goals: Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions. Experience with at least one major deep ...

break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations. Demonstrated domain knowledge in life sciences, computational biology, or biosecurity (e.g., molecular biology, pathogen genomics, computational plant pathology, protein engineering, bioinformatics, or metagenomics).Demonstrated ability to translate biological … concepts into computational workflows and evaluation benchmarks. At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities ...

including FASTQ, SAM/BAM, gff, BED, VCF, and PDB/CI using bioinformatics or health informatics tools. Demonstrated domain knowledge in life sciences, computational biology, or biosecurity (e.g., molecular biology, pathogen genomics, computational plant pathology, protein engineering, bioinformatics, or metagenomics).Ability to identify, break down … solve ambiguous and complex process and technical problems that span across many teams and organizations. Demonstrated ability to translate biological concepts into computational workflows and evaluation benchmarks. At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas ...

design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production … quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal ...

design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production … quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal ...

generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI's powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate … cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we're getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.Your ImpactWe're seeking a Senior Research Investigator ...

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 software engineer. Demonstrated advanced programming expertise in Python and in developing and delivering … networking and security controls - VPC, VPC Service Controls (VPC-SC), and private connectivity. Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Please take a copy ...

design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production … quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal ...

appropriate. Support the development of future regulatory frameworks, guidance and policy relating to AI-enabled technologies where appropriate. Keep abreast of developments in AI, computational toxicology, pharmacology, modelling and simulation, healthcare data science and related fields. Identify opportunities to strengthen scientific capability and further develop the MHRA's leadership … Experience Essential Significant experience and recognised expertise in at least one of the following areas: Artificial Intelligence and Machine Learning Healthcare data science and computational modelling Pre-clinical assessment, toxicology and New Approach Methodologies (NAMs) Pharmacology, drug discovery or development or related scientific areas. Experience applying scientific and technical ...

monitoring or clinical development contextsUnderstanding of biomedical ontologies or knowledge graph applicationsKnowledge of regulatory frameworks (FDA, EMA) and experience with data privacy considerationsBackground in computational biology, biostatistics or related scientific disciplineFamiliarity with federated learning concepts or privacy-preserving machine learning techniquesWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection ...

generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI's powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate … cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we're getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.Your impact This is an exciting opportunity ...