Latest Cloud Infrastructure Jobs

HPC Engineer - Generative Biology Institute

This role involves operating and enhancing a hybrid high-performance computing platform that supports cutting-edge research in engineering biology. The engineer will work across Linux systems, Kubernetes, Slurm, and cloud infrastructure to build scalable, reliable computing services tailored to scientific workloads such as bioinformatics, AI/ML, and simulation. The position emphasizes automation, researcher support, and platform documentation to enable robust, reproducible computational environments.

Ellison Institute of Technology Oxford, United Kingdom

Hybrid Permanent

Senior Scientist, Automated Diagnostic Systems - Pathogen

This role involves developing and optimizing automated workflows for a sample-to-answer diagnostic platform using whole genome sequencing. The scientist will translate molecular biology processes into integrated fluidic systems, focusing on nucleic acid extraction, library preparation, and assay robustness. Collaboration with engineers and chemists is central to advancing the platform from concept to prototype.

Ellison Institute of Technology Oxford, United Kingdom

On-site Permanent

Innovation, Data & Analytics Team, Data Engineer

Build and operate production data pipelines that power AI-based workflows, implementing the canonical data model and ensuring high-quality, timely data for analytics and agentic systems. Collaborate with data scientists and analysts to validate data models, improve pipeline performance, and support evolving business needs in a regulated healthcare environment.

Pfizer US$124,400 – US$207,400 pa

Innovation, Data & Analytics Team, Data Engineer

Build and operate the production data pipelines that power the Innovation, Data & Analytics team's AI-based workflows, implementing the canonical data model and ensuring reliable, timely, high-quality data for downstream analytics and agentic systems. Collaborate with data scientists, analysts, and governance teams to improve pipeline performance, ensure compliance, and support evolving analytical needs in a regulated healthcare environment.

Pfizer US$124,400 – US$207,400 pa

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab experiments to validate performance in real-world biological contexts. Collaborate closely with interdisciplinary teams of researchers, engineers, and biologists while maintaining robust, scalable code and infrastructure. Focus on rapid prototyping, model optimization, and continuous learning from experimental feedback to advance synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Member of Technical Staff, Applied AI

This role involves deploying and adapting proprietary generative AI models within pharmaceutical and biotech customer environments. You'll work closely with interdisciplinary teams to integrate models into production systems, optimize performance, and translate scientific requirements into technical solutions. The position requires deep expertise in generative modelling, strong ML engineering skills, and the ability to act as a technical liaison between research and customer teams.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Bioinformatics Engineer, London

You will build and maintain a high-fidelity biological data layer by developing large-scale, production-grade bioinformatics pipelines that transform raw data (e.g., FASTQ, BAM) into standardized, version-controlled datasets for machine learning. You'll harmonize public and internal biological data sources, collaborate with interdisciplinary research teams, and ensure robust data integration to accelerate AI-driven drug discovery. Your work will directly enable faster, more accurate model training across genomics, proteomics, and functional genomics modalities.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Software Engineer (Data Services), London

This role involves building and maintaining scalable data services and platforms that support AI-driven drug discovery. You'll work closely with scientists and ML researchers to ingest, transform, and serve complex scientific data, enabling high-velocity research. The position requires strong backend engineering skills, particularly in Python and GCP, within a collaborative, interdisciplinary environment.

Isomorphic Labs London, United Kingdom

On-site Permanent

Associate Director Predictive Agentic Target Biology

Lead the development and application of predictive computational models and agentic workflows to evaluate target biology, safety, and translatability in drug discovery. Integrate multimodal biological data and collaborate with cross-functional teams to inform go/no-go decisions. Design and execute hypothesis-driven experiments to validate mechanisms and advance robust, reproducible methods with direct patient impact.

GSK

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Senior Scientist, Research Informatics & Data Science

This role involves developing data, software, and automation solutions to transform biologics engineering workflows. The scientist will integrate laboratory systems, build FAIR data foundations in Snowflake, and apply AI to enhance drug discovery. Collaboration with scientists, engineers, and IT teams is central to delivering scalable, user-centric digital products that improve data quality and research efficiency.

AstraZeneca Cambridge, United Kingdom

Senior / Principal Bioinformatician

Process and analyse multi-omic clinical datasets including RNAseq, NGS, and proteomics to derive biological insights supporting drug development decisions. Develop and optimise computational pipelines, integrate omics data with clinical variables, and contribute to scientific reporting and publications. Work autonomously within a collaborative, science-driven team across therapy areas such as oncology, neuro, and inflammation.

Hays Life Sciences London, United Kingdom

Senior Engineer, CSV Validation

This role involves end-to-end ownership of computerised system validation (CSV) for GxP-regulated systems used in the manufacturing and testing of advanced CAR-T cell therapies. The engineer will author and execute validation documentation, ensure compliance with international regulations (e.g. FDA 21 CFR Part 11, EU GMP Annex 11), manage change controls and CAPAs, and support regulatory inspections. The position requires strong technical writing, cross-functional collaboration, and expertise in GAMP 5 and data integrity within a biopharmaceutical context.

Autolus Stevenage, United Kingdom

Principle Scientist - Cheminformatics

This role involves developing and deploying advanced computational and machine learning models to accelerate drug discovery within GSK's BRADSHAW platform. The Principal Scientist will integrate cheminformatics, quantum mechanics, and AI-driven workflows to support decision-making across discovery programmes. Emphasis is placed on collaboration with multidisciplinary teams and translating complex data into actionable insights for non-experts.

GSK Stevenage, United Kingdom

A

Director, Data Scientist - Clinical AI

Lead the development and strategic implementation of AI methodologies for clinical trial design, biomarker discovery, and drug development across AstraZeneca's BioPharmaceuticals pipeline. Drive scientific innovation in collaboration with cross-functional teams, shape regulatory standards for AI in clinical evidence, and represent the company in external scientific forums. Focus on delivering reusable, enterprise-scale AI solutions grounded in rigorous data practices and translational impact.

AstraZeneca Cambridge, United Kingdom