Top Research Jobs in Edinburgh

Provides pathology subject-matter expertise for biomarker discovery, companion diagnostics, digital and molecular pathology, and translational research programs. Reviews literature and pathology standards, develops annotation guidelines, performs or reviews digital slide annotations, and quality-checks human- and algorithm-generated outputs. Guides AI/ML model design, training, validation, and interpretation while collaborating with pathology, histotechnology, data science, and client teams to ensure clinically meaningful and scientifically rigorous results.

Seeking a Staff or Principal Research Scientist to develop cutting-edge AI models and systems, with a strong emphasis on experimental design and full-stack research ownership.

As a Research Intern, you will contribute to original research in deep learning, design novel neural network architectures, and collaborate on projects with researchers.

Lead statistician for complex clinical studies from protocol/SAP planning through reporting; develop sample size, modeling, adaptive/Bayesian designs; oversee statistical deliverables (SAPs, randomization, CSR contributions), advise on regulatory strategy, manage biostatistics projects and budgets, support BD and DSMB/DMC activities. Travel ~20%.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Leads the innovation and technology roadmap for statistical programming in pharmaceutical and CRO environments. Evaluates AI tools, modernizes SAS workflows with R and Python, develops reusable packages and automated pipelines, and provides technical direction for R Shiny applications. Establishes architecture and deployment standards, while supervising, mentoring, and developing statistical programming staff.

Manage end-to-end delivery of digital content products, primarily curriculum, across writers, designers, engineers, marketers, and subject matter experts. Responsibilities include project scheduling, Agile ceremonies, PI planning, CMS administration, content publishing, QA, cross-platform distribution, stakeholder communication, budget tracking, risk and dependency management, and post-launch optimization. The role ensures content is accurate, accessible, on time, and aligned with organizational goals.

Edit long- and short-form video content for YouTube and social platforms, adding motion graphics, captions, lower thirds, audio adjustments, color grading, and transitions. Organize assets and versions, collaborate with producers and designers, incorporate feedback, meet platform specifications, and deliver files in required formats and aspect ratios. The role also requires creative storytelling, quality assurance, deadline management, and submission of a video reel and editing sample.

Lead and scale user research across Core Banking, define strategic research direction, partner with senior stakeholders, manage and coach research managers (6-8 reports), synthesize qualitative and quantitative insights, and embed a global research operating model to inform product and organisational strategy.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

Manage and grow corporate subscription accounts for research-intensive clients by selling complex, AI-enabled knowledge solutions. Build account strategies, identify cross-sell/upsell opportunities, negotiate contracts, forecast pipeline in CRM, deliver high-stakes presentations, collaborate with Product/Marketing/Customer Success, and conduct market and customer research to inform sales approaches.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.

Build and maintain experimental decision-system prototypes, evaluation tooling, simulation environments, and research infrastructure to enable rapid iteration and validation of research concepts in real-world constraints.

Apply formal decision theory and structured reasoning to enterprise problems: design decision frameworks, model uncertainty and tradeoffs, test decision architectures, run experiments, and translate research into system-ready primitives collaborating with engineering and product teams.

Lead go-to-market strategy and commercial execution for a new AI-native Market Research service. Build positioning, pricing, and metrics; generate pipeline and close deals; partner with Sales, Marketing, Product, and Research; represent Maze publicly; and help scale the service and team while feeding market insights back into product and offering design.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Support development of tokenized equity products by conducting due diligence, building financial and commercial models, performing market and competitor research, preparing committee memos and presentations, tracking ECM activity, and owning research workstreams through transaction execution.

The Frontend Engineer will implement UI features, automate UI testing, and oversee production releases while focusing on user experience in the blockchain space.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.

Lead and build Maze’s new AI-native Market Research service: define research vision and methodologies, recruit and manage a research team, own delivery quality, partner with Product/Engineering and GTM, and serve as executive research lead on strategic customer engagements.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

Lead research on model architectures to improve attention, memory, and efficiency. Design and run experiments at scale, develop methods to reduce training/inference cost, collaborate with engineering for implementation, publish and open-source work, and mentor other researchers to shape the research direction.

Manage the lifecycle of clinical trial change order budgets: coordinate stakeholders, develop and analyze budgets using spreadsheets, present budgets to customers, resolve issues, and ensure accurate final change order budgets aligned with CRO processes.