10 of 10 Proteomics Jobs in London

deploy often Preferred qualifications: Demonstrated experience of Python backend development (e.g. using FastAPI) Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP and agent ...

Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary ...

Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Please take a copy of the Job Description, as this will not be available post closure of the advert. ...

computational biology or bioinformatics venues. Knowledge of or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). #LI-GSK #LI-Hybrid #GSKAIML Germany Salary Range/Gehaltsbandbreiten Germany ...

computational biology or bioinformatics venues. Knowledge of or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Please take a copy of the Job Description, as this will not be available post closure of the advert. ...

with proficiency in modern data engineering tech stacks Experience working with medical imaging modalities (radiology and/or histopathology) or multi-omics modalities (transcriptomics, proteomics) and a working knowledge of other biomedical data modalities sufficient to support cross-modal integration Practical experience with entity linking or record linkage, ideally ...

data is multimodal. Single‐cell and pooled CRISPR screens are read out by sequencing, by Cell Painting and other high‐content imaging, and by proteomics, often on the same perturbations. Much of the job is making those readouts agree with each other, with statistics that hold up when a screen … answer, and your analysis goes out with the data. It also crosses readouts that usually live in separate teams. Sequencing, imaging and proteomics from the same perturbations come through one small team, and the analysis has to hold up across all of them. Some people find that energising; some find ...

Data Sciences to join the Drug Development Data Science & Advanced Analytics (DSAA) team. You will lead exploratory and confirmatory analyses across clinical trials, genomics, proteomics, imaging, and other omics data to support decisions across the development pipeline. This role emphasizes interface between computational science and drug development, with responsibility ...

genomics data, collaborating closely with scientists who design and run screens. You will build scalable pipelines across multimodal readouts such as sequencing, imaging and proteomics to derive robust hits and evidence. You will join the intelligence team in London, working hybrid with regular lab time, and you will help ensure ...

drug development. You will execute and drive exploratory and confirmatory analyses across a rich variety of data types - from clinical trial data to genomics, proteomics, imaging, and beyond - contributing directly to decisions that advance our global development pipeline. What You’ll Do Data Science & Analytics Develop and apply novel computational … partnership with Translational, Clinical, and Statistical Scientists Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other high-dimensional biomarker data types Develop innovative approaches to integrating, mining, and visualising diverse, high-dimensional, and disparate datasets generated ...