19 of 19 Omics Jobs in London

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 ❯

data that aid in the identification of targets, profiling of therapeutic candidates or improving the chances of translation (e.g., cellular images, flow cytometry, multi-omics, deep profiling). Identify, develop and implement data visualization approaches that help drive decision making on program teams and manage resources for the department. Help 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

firms, life science companies, or healthcare data providers preferred. Knowledge of healthcare data and experience of its practical applications (e.g., patient-level EMR, claims, omics, data and experience with RWD/RWE projects or omics data) would be a plus. Additional Skills: Ability to translate unstructured problems into actionable processes More ❯