skills in R and/or Python, along with experience in cloud services like AWS, containerization, workflow languages, and SQL databases. Experience in multi-omics and data integration Extensive expertise in proteomics, including familiarity with mass spec technologies, TMT labeling, and targeted proteomics. BioTalent Ltd are acting as an employment more »
pharma companies and clinicians to design better treatments for cancer patients. Our technology allows the integration of multiple layers of data (such as multi-omics, clinical data, prior knowledge) using AI based on automated reasoning techniques. Our vision: Catalyzing the convergence of computation and biology. Our vision comes from our more »
the Inflammation Cluster in the Manchester Biomedical research centre. You will work across these two themes, splitting your time equally. Across these themes poly-omics, genetic medicine, immunopathology, and phenotyping are conducted to further develop the understanding of disease pathways, course and treatment. It is hoped that these translational studies more »
will be available in Summer 2024, during the summer break f unded by BMSS summer studentship . The student will be integrated into the omics group, attending meetings, and will be expected to present their work at the end of the placement. Role Description This is a summer studentship working more »
Northreach is a dynamic recruitment agency that connects businesses with top talent in the Advanced Therapies sector. Our mission is to provide a seamless and personalised recruitment experience for clients and candidates, and to create a positive work environment that more »
Kensington and Chelsea, United Kingdom Hybrid / WFH Options
Imperial College London
Job responsibilities Duties and responsibilities The ideal candidate for this position will possess a broad range of skills in gene expression analysis, including multi-omics, systems biology and computer programming. They will ideally be responsible for the analysis of longitudinal RNA-seq data, and proteomics. Given the technical complexity of … You must hold a PhD in Bioinformatics, Statistical Genetics, Statistics or an equivalent subject, or be nearing PhD completion. Experience with the analysis of omics data Proficiency with R, Matlab or Python 2-3 years' experience of analysing transcriptomics\proteomics Knowledge of research methods and statistical procedures A strong understanding … and proven experience of analysing large datasets Experience with workflow analysis specific for omics data analysis-i.e RNA seq, proteomics and previous experience with analysing RNA seq data, microarrays, gene expression, gene enrichment analysis, functional analysis and gene network analysis Experience with longitudinal data analysis Experience handling missing data and more »
Biology Team, and be the point of contact and a role model for advanced modelling within the company. Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep phenotyping and/or omics data in close collaboration with wet-lab scientists. Work … a fast-paced environment (biotech/pharma industries would be a distinct advantage) Strong experience in developing and modifying statistical (and ML) models of ‘omics datasets for biological interpretation and actionable insights Strong experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience in leading projects involving more »
within the company. – Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping and/or omics data in close collaboration with wet-lab scientists. – Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development … in a fast-paced environment (biotech/pharma exposure would be an advantage) – Strong experience in developing and modifying statistical (and ML) models of ‘omics datasets for biological interpretation and actionable insights – Strong experience with experimental design, exploratory data analysis, reporting and visualisation of data. – Experience in leading projects involving more »
