Future Tech Jobs
Future Tech Jobs
Performs bulk and single cell NGS protocols, spatial transcriptomics, and sample processing in a core facility. Operates Chromium X, Visium Cytassist, and Xenium platforms, with responsibilities including QC assessment, documentation, and customer liaison. Supports a research-intensive environment requiring precision, organisation, and technical adaptability.
This role involves leading the development and validation of advanced molecular assays such as RT-qPCR, dPCR, and NGS to support clinical biomarker strategies across Moderna’s therapeutic pipeline. The scientist will work hands-on in assay design, optimization, and data interpretation, ensuring compliance with GCLP standards while integrating genomics, bioinformatics, and clinical insights. Collaboration with cross-functional teams is key to translating molecular data into actionable decisions for drug development.
This role involves leading the development and validation of advanced molecular assays (including RT-qPCR, dPCR, and NGS) to support clinical biomarker programs across Moderna’s therapeutic pipeline. The scientist will drive end-to-end assay lifecycle management, ensure regulatory compliance with GCLP standards, and collaborate with cross-functional teams to generate high-quality genomic data for clinical decision-making. Emphasis is placed on innovation, data integrity, and integrating emerging technologies like AI-enabled tools to accelerate translational research.
A Senior Computational Biologist will drive target discovery in immunology and inflammatory diseases by integrating multi-omics data (phenomics, transcriptomics, genomics, proteomics) to nominate and validate novel therapeutic targets. The role involves developing computational methods, collaborating with cross-functional teams, and translating complex analyses into actionable drug discovery programs using Recursion’s AI-driven platform.
Drive target discovery and validation in precision oncology by integrating multimodal biological data (phenomics, transcriptomics, genomics, proteomics) to identify novel therapeutic targets. Collaborate with cross-functional teams to develop scalable computational methods and build compelling data packages that advance drug programs. Develop criteria for target nomination and support early translational strategies using AI-powered platforms.
Lead a team of translational genetics scientists to drive data-driven insights across GSK's drug development pipeline, integrating genetic, genomic, and clinical data to inform target validation, biomarker discovery, and patient stratification. Work within cross-functional teams to address key translational questions in therapeutic areas such as respiratory, immunology, and neurodegeneration. Foster innovation through internal collaboration and external academic partnerships while advancing methodological development in statistical genetics.
Leads a team of translational genetics scientists to integrate genetic, genomic, and clinical data in support of drug discovery and development. Focuses on generating disease-relevant insights across therapeutic areas such as respiratory, immunology, neurodegeneration, and hepatology. Drives innovative analytical approaches and external collaborations to address key translational questions and advance GSK’s pipeline.
This role involves analysing high-throughput sequencing data to investigate RNA regulation in innate immunity, with responsibilities spanning computational analysis of multi-omics datasets and potential wet-lab experimentation. The researcher will apply bioinformatics techniques to study post-transcriptional regulation mediated by the ELAVL1 protein, using methods such as RNA-seq, eCLIP, and SLAM-seq. There is also an opportunity to contribute to experimental design, conduct CRISPR-based assays, and support training within a multidisciplinary team focused on inflammatory disease mechanisms.
This role involves designing and developing threat-led detection capabilities using threat intelligence and hunting outputs, with a focus on protecting sensitive genomic and AI-driven healthcare data. The engineer will create novel analytics in Microsoft Sentinel, automate reporting, and ensure monitoring coverage across cloud, SaaS, and Kubernetes environments. Collaboration with an outsourced SOC and contribution to security frameworks like ISO 27001 are key aspects of the role.
