1 to 25 of 35 Remote Bioinformatics Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

both on-premise and cloud-based data systems Clear communicator, able to translate complex data concepts to cross-functional teams A Masters or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience What youll get in return: Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy 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 ❯

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 ❯

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 ❯

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 … 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 ❯