6 of 6 Permanent Omics Jobs in the Thames Valley

leading programs/projects from initiation to implementation is requiredAt least 8 years of experience working with real world data (Claims data, EMR, IQVIA, -omics, etc)Minimum of 8-10+ years of experience with programming and application development using Python or R is preferredPreferred Experience/Skills: Master/ ...

with genome‐scale metabolic models. Proven experience with best practices and established software pipelines for genome‐scale metabolic modelling, including automated model construction from ‘omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint‐based modelling. Our Benefits: Travel Allowance Bonus Pension - Employer contribution 7.5%, minimum ...

experimental measurement strategies for characterising these strains at scale. Collaborate with other GBI scientists from other groups expert in synthetic biology, automation, bioinformatics, -omics and machine learning, and AI scientists from the AIR institute, as required. Analyse complex datasets using computational and statistical tools, interpreting results in the context ...

make is cultivated meat just like real meat, only made differently. Our team develops in silico models to transform how we design and run omics-based screening strategies for the discovery of novel biological targets in our cell lines and to optimise media formulations. We’re looking for a skilled … lines with real-world impact. About the Role As a specialist in bioinformatics and computational biology, you'll bring deep expertise in large-scale omics data and modelling methods and take a leading role in building the tools we use to make sense of high-throughput biological data. ...

Principal Bioinformatician grade and you will be working on drug development projects, playing a key role in generating biological insights from clinical stage omics data to support decision making across the therapeutic portfolio. Major responsibilities will include: Processing, analysing, and interpreting multi-omic (RNAseq, NGS, proteomic, etc) datasets from clinical … analyses Drafting high quality reports and contributing to scientific publications Applying SOTA (state-of-the-art) tools for functional interpretation (e.g., pathway enrichment) Integrating omics outputs with clinical variables to enhance understanding of drug effects Operating autonomously while collaborating with cross-functional scientific teams What you'll need to succeed ...

clinical-stage assets. Working at the interface of biology and data, you’ll play a key role in unlocking insights from complex patient-level omics datasets to better understand disease biology, treatment effects and safety signals. This is a collaborative environment where your work will directly inform critical scientific … clinical decisions. In this role you will: Analyse and interpret large-scale omics datasets (with a strong focus on bulk and single-cell RNAseq) Develop and refine bioinformatics pipelines and analytical approaches Generate meaningful biological insights to support clinical programmes Work with cross-functional stakeholders to communicate findings clearly ...