1 to 25 of 41 Bioinformatics Jobs in the UK excluding London

collaboration are met.- Preparing presentations and written work for meetings with collaborators and for publication as journal articles. Experience required for the role - Experience in Computational Biology, Biostatistics, Statistics, Bioinformatics or a related field, with an associated Masters, or ideally PhD, qualification.- Experience of processing and analysing large biological datasets.- Expertise in programming using at least one of R or More ❯

and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

role with real autonomy, and to shape how data is handled across the company. What experience youll need to apply: A Masters or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one More ❯

Bioinformatics Engineer I page is loaded Bioinformatics Engineer I Apply locations UK - Oxford time type Full time posted on Posted 2 Days Ago job requisition id R25-10044 Help us change lives At Exact Sciences, we're helpingchange how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions … Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others. Position Overview The Bioinformatics Engineer I will be responsible for the monitoring, collection and analysis of data produced by assays, software applications, production and development pipelines supporting on market and under development products by … R. Experience with cloud computing software; including AWS, Azure. Experience working with Laboratory Information Management System (LIMS). Basic skill in Linux command line. Familiarity with molecular biology and bioinformatics tools. Familiarity with web development. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and More ❯

on-premise and cloud-based data systems Clear communicator, able to translate complex data concepts to cross-functional teams A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience What you’ll get in return: You’ll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and More ❯

Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical trials Experience with Docker , Kubernetes , or cloud ML pipelines (AWS/GCP) This is a high-impact role with immediate visibility across R&D and data teams. Interviews More ❯

Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical trials Experience with Docker , Kubernetes , or cloud ML pipelines (AWS/GCP) This is a high-impact role with immediate visibility across R&D and data teams. Interviews More ❯

scientists, and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R More ❯

our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza … R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will further drive and implement innovative solutions enhancing Lonza's capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics … pipelines to facilitate complex dataanalysis and integration. Supports onboarding and development of data analysis tools used bymultidisciplinary teams across Lonza. Drives digital innovation in biomanufacturing by enhancing data science,bioinformatics and statistical capabilities. Manages internal and external collaborations with academic andcommercial partners. Leads, mentors and trains junior team members. What we're looking for: PhD with at least 2 years More ❯

required as necessary to meet with clients. Frequency of travel is dictated by business need, estimated at 1-3 short visits per year. You will have: A Life sciences, bioinformatics or software-related bachelors degree (2.1 or higher) or equivalent (relevant post graduate qualification desirable) 2+ years relevant professional experience in a customer facing role (such as at a CRO More ❯

will work together with members of the PDTF team and the Cancer Inflammation and Immunology group, in collaboration with the Computational Biology Core facility at CRUK MI, and the Bioinformatics and Biostatistics team at CRUK NBC and the wide network of scientist, computational biologists and clinicians within the MANIFEST consortium. This is an exciting opportunity to work on a cutting More ❯

and scientists driving global pathogen research. Key Responsibilities: Manage our object data storage, ensuring efficient design, tiering, and access controls. Build and manage our research compute environment for running bioinformatics pipelines and interactive analytics. Ensure the data platform meets disaster recovery standards. Ensure cloud resources are managed according to set standards and that deployments are automated. Collaborate with the AI 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 ❯

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 … 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, 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 ❯

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 ❯

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 ❯