or Perl for data analysis. Experience with bioinformatics tools and databases (e.g., BLAST, Bioconductor, Ensembl). Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB More ❯
efficiently advancing drug programs from proof of concept and into clinical development Deep expertise in the analysis and data integration of two or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics), including experience working with patient data Exceptional data visualization skills Excellent cross-functional communication skills, including an ability to More ❯
efficiently advancing drug programs from proof of concept and into clinical development Deep expertise in the analysis and data integration of two or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics), including experience working with patient data Exceptional data visualization skills Excellent cross-functional communication skills, including an ability to More ❯
and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics/Spatial omics (e.g., spatial transcriptomics or multiplex imaging)/Multi-modal data integration (e.g., combining genomics with clinical or imaging data) A track record of delivering biological More ❯
and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics/Spatial omics (e.g., spatial transcriptomics or multiplex imaging)/Multi-modal data integration (e.g., combining genomics with clinical or imaging data) A track record of delivering biological More ❯
personalized treatments for the skin. There will be ample opportunity for growth with share options available. Role You will be working on cutting edge omics studies to advance skin diagnostics and discovery of novel anti-aging treatments. Your work will translate into an impactful product in the hands of the More ❯
Salary + Share Options A stealth-mode biotech startup is seeking a Senior Data Scientist to drive innovation. You’ll work on cutting-edge omics and machine learning projects using non-invasive epigenetic data to develop predictive diagnostics and personalized treatments. Key Responsibilities: Develop ML models for epigenetic data Analyze More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Hlx Life Sciences
Salary + Share Options A stealth-mode biotech startup is seeking a Senior Data Scientist to drive innovation. You’ll work on cutting-edge omics and machine learning projects using non-invasive epigenetic data to develop predictive diagnostics and personalized treatments. Key Responsibilities: Develop ML models for epigenetic data Analyze More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Pear Bio
About Pear Bio At Pear Bio, we are personalizing cancer treatment selection because every cancer is unique. To achieve this, we have developed a test that cultures patient tumor samples and matched immune cells, monitors cell behaviors during therapy exposure More ❯
London, England, United Kingdom Hybrid / WFH Options
Pear Bio
About Pear Bio At Pear Bio, we are personalizing cancer treatment selection because every cancer is unique. To achieve this, we have developed a test that cultures patient tumor samples and matched immune cells, monitors cell behaviors during therapy exposure More ❯
experience (CPTO, CTO, CPO, or equivalent) in tech-driven organisations within data-intensive industries. Proven expertise in handling and integrating multi-modal clinical and omics data, as well as leading teams to develop scalable cloud-native architectures. Demonstrable knowledge of big data governance, regulatory compliance (e.g., software as a medical More ❯
Professor Richard Dobson, is motivated towards enabling a "panoramic" view of patients that is precise, predictive, preventative and participatory, through the integration of traditional 'omics data with data derived from mHealth, electronic patient records, knowledge graphs. The group works closely alongside the National Institute for Health Research Maudsley Biomedical Research More ❯
Professor Richard Dobson, is motivated towards enabling a "panoramic" view of patients that is precise, predictive, preventative and participatory, through the integration of traditional 'omics data with data derived from mHealth, electronic patient records, knowledge graphs. The group works closely alongside the National Institute for Health Research Maudsley Biomedical Research More ❯
is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual More ❯
Professor Richard Dobson, is motivated towards enabling a "panoramic" view of patients that is precise, predictive, preventative and participatory, through the integration of traditional 'omics data with data derived from mHealth, electronic patient records, knowledge graphs. The group works closely alongside the National Institute for Health Research Maudsley Biomedical Research More ❯
Hinxton, Essex, United Kingdom Hybrid / WFH Options
NLP PEOPLE
aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease … conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. The role involves designing and implementing ML models that integrate … multi-omics data and clinically relevant endpoints, contributing to the creation of virtual patient models to simulate disease trajectories and therapeutic responses. This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and More ❯
Hours per week: 37 Project Title: Next generation tools for genome-centric multimodal data integration in personalised cardiovascular medicine Months Duration: 36 Job Description Main Purpose of the Job As part of the EU Horizon/Innovate UK funded project More ❯
and lead the data science and bioinformatics strategy across the full data lifecycle Build predictive models and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and proprietary algorithms Collaborate closely with wet lab scientists, product teams, and … or a related field 8–10+ years post-PhD experience, ideally within bio/health tech environments Deep expertise in DNA methylation and multi-omics data analysis Strong coding skills (Python), cloud computing experience (AWS preferred) Leadership experience with a start-up-ready, cross-functional mindset Desirable: Experience developing data More ❯
and lead the data science and bioinformatics strategy across the full data lifecycle Build predictive models and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and proprietary algorithms Collaborate closely with wet lab scientists, product teams, and … or a related field 8–10+ years post-PhD experience, ideally within bio/health tech environments Deep expertise in DNA methylation and multi-omics data analysis Strong coding skills (Python), cloud computing experience (AWS preferred) Leadership experience with a start-up-ready, cross-functional mindset Desirable: Experience developing data More ❯
Job Title: Postdoctoral Research Scientist – Bioinformatics Salary: £36,000 - £40,000 Location: Norwich Background: In humans, over 90% of the variants associated with traits are found within noncoding regions of the genomes, either within genes' introns, untranslated regions, promoters, or More ❯
Job Title: Postdoctoral Research Scientist – Bioinformatics Salary: £36,000 - £40,000 Location: Norwich Background: In humans, over 90% of the variants associated with traits are found within noncoding regions of the genomes, either within genes' introns, untranslated regions, promoters, or More ❯
is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual … techniques to real-world challenges. As part of the Cross Indication team, you will work across multiple programme areas, applying computational methods to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art computational tools. Your responsibilities Perform computational analyses on … multi-omics datasets to support target discovery efforts. Collaborate with cross-functional teams to integrate computational findings into experimental workflows. Develop and 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 More ❯
environment. What You Will Contribute To Altos Altos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team works at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We … models across the full spectrum of imaging including: de novo protein design, structure identification and dynamics in single particle CryoEM; light microscopy and multi-omics data integration and cross domain mapping of data collected in situ and in vivo. Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems More ❯
environment. What You Will Contribute To Altos Altos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team works at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We … models across the full spectrum of imaging including: de novo protein design, structure identification and dynamics in single particle CryoEM; light microscopy and multi-omics data integration and cross domain mapping of data collected in situ and in vivo. Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems More ❯
models, and self-supervised or multimodal architectures) to support biological research. Develop, refine and optimise AI systems, and tools, with a focus on Multi-omics and Single cell Utilise your deep knowledge of single-cell and spatial data, from various tissues and disease types, using both public (e.g. HCA) and … to practical biological applications Your profile (ESSENTIAL) PHD degree in relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatia l Biology Expertise in utilising GPUs for AI/ML model training You have an exceptional More ❯