preferably in life science industry. Preferred Qualifications: Strong understanding of omics technology and data processing pipelines, including bulk and single cell RNA-seq, WES, proteomics, transcriptomics, metabolomics, GWAS, mass spec, spatial omics technology. Experience with orchestration tools (nextflow, snakemake), data engineering tools (Kubernetes, Airflow, Spark, Kafka, etc.), data visualization tools More ❯
like Python, R, 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 More ❯
for health applications In depth knowledge in machine learning best practices, scalable training and deployment Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics) Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite More ❯
robust software solutions In depth knowledge in machine learning best practices, scalable training and deployment Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics) ML-powered products for health applications Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company More ❯
discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems biology. Partner with ZS leaders and client service teams to support selling and delivering Discovery More ❯
CD, containerization, etc. Preferred Qualifications: PhD in Machine Learning. Knowledge in disease biology, molecular biology, and virology. Experience with biological data (genomics, transcriptomics, epigenomics, proteomics). Peer-reviewed publications in major AI conferences. Experience in deploying commercial AI/ML software. Contributions to open-source projects. Focus on early commits More ❯
Develop novel cell embeddings that integrate multi-omics foundation models— transcriptomics, proteomics, epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell More ❯
Develop novel cell embeddings that integrate multi-omics foundation models— transcriptomics, proteomics, epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell More ❯
Develop novel cell embeddings that integrate multi-omics foundation models— transcriptomics, proteomics, epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell More ❯
speed and accuracy of drug discovery pipelines through our next generation of machine learning models, as well as innovations related to our emerging scaled proteomics and automated chemistry platforms, along with our high throughput transcriptomics and cellular imaging pipelines. Leveraging advances in active learning and scientific AI agents, you'll More ❯
the-art core facilities and expertise, including multimodality in vivo imaging, clinical research facilities, experimental medicine hub, high-throughput robotic screening, comprehensive genomics/proteomics/metabolomics/single cell analyses, integrative invasive and non-invasive human physiology, and comprehensive murine physiology and genetic modification. There is an innovative clinical More ❯
London, England, United Kingdom Hybrid / WFH Options
Pear Bio
and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and high-content imaging data, to support the identification of cancer targets and the development of novel therapeutics. You will be part of the Software … wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and … projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling, and visualization. Hands-on experience with data integration, mining, and More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Pear Bio
and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and high-content imaging data, to support the identification of cancer targets and the development of novel therapeutics. You will be part of the Software … wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and … projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling, and visualization. Hands-on experience with data integration, mining, and More ❯
potential support of other territories on a case-per-case basis). Qualifications Bachelor's degree as chemist, biologist with a focus on either proteomics, metabolomics, lipidomics, MALDI or MALDI imaging. Practical experience in using mass spectrometry technology with proven proficiency in chromatographic separations and problem-solving ability. A thorough More ❯
work in lead optimization. You will integrate molecular and clinical data from public and partnered datasets with layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose programs in novel areas of immunology and inflammation. You will partner with … selection or expansion in immunology and inflammation Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward … 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 explain complex scientific concepts to More ❯
work in lead optimization. You will integrate molecular and clinical data from public and partnered datasets with layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose programs in novel areas of immunology and inflammation. You will partner with … selection or expansion in immunology and inflammation Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward … 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 explain complex scientific concepts to More ❯
Northreach is a dynamic recruitment agency that connects businesses with top talent in the cell & gene therapy, fintech, and digital sectors. Our mission is to provide a seamless and personalized recruitment experience for clients and candidates, and to create a More ❯
Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our More ❯
