Top Research Jobs in Edinburgh

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

Conduct and publish original sports physiology and performance research, secure external funding, supervise PhD students, and collaborate with high-performance sport organisations. Teach, design and assess inclusive curricula, enhance student employability through placements/industry engagement, contribute to departmental administration, knowledge transfer, public engagement, and support an inclusive academic community.

Monitor interventional clinical study sites per GCP/ICH: perform selection, initiation, monitoring, and close-out visits; manage recruitment, regulatory submissions, TMF/ISF documentation, CRF/data query resolution, site training, and escalate quality issues while liaising with study teams.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

Lead experimental research on nanoscale electrodeposition to develop scalable nanosensor materials for gas sensing. Design and run electrochemical and crystallisation experiments, analyse complex datasets, publish results, present at conferences, and collaborate with interdisciplinary academic partners to advance sensor device fabrication and performance.

Design and own frontier evaluation methodology and benchmarks for LLMs across reasoning, coding, agents, tool use, and multi-modal tasks. Build expert-verified benchmark packages, recruit and calibrate subject-matter experts, act as technical liaison to labs, and deliver lab-ready pilot evaluation packages with rigorous QC and validation.

Lead 6G radio protocol research and standardization, drive innovation in mobile communications, and develop pioneering intellectual property. Collaborate on system-level expertise and advocate for Nokia's technical leadership in international standards.

Support an NIHR-funded realist evaluation of unprofessional behaviour among NHS staff by analysing qualitative data, contributing to outputs (publications, presentations), attending meetings, and assisting with administrative and engagement activities under supervision.

Carry out educational research into students' use of translation and generative AI tools, analyse large datasets, develop guidance for effective student use, contribute to reports and policy recommendations, and work collaboratively and independently on a part-time basis.

The Research Advisor will provide high-level consultancy on AI model governance, engage with clients, and contribute to impactful research and publications within the Human Frontier Collective.

The Senior Research Consultant will advise clients on market research, design studies, interpret results, and integrate AI into research processes.

Join Verve as an Insight Associate, focusing on AI-powered market research. Learn to design research, interpret human behavior, and contribute to client projects using AI tools.

Design, develop, test, and maintain scalable R Shiny applications for clinical data review, visualization, QC, and reporting. Build reusable modules and utilities (R, SAS, Python), integrate cloud data sources, validate to regulatory/GxP standards, optimize performance, perform testing, and support study teams.

Join the Motivation and Social Neuroscience lab to collect and analyse behavioural and neuroimaging (fMRI/MEG) data, run large-scale online studies, contribute to manuscripts and presentations, develop/adapt methods and models, supervise/guide assisting staff or students, handle research-related administration, and collaborate with national and international partners while promoting equality and inclusion.

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%.

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

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.

The Senior Research Partner at Maze collaborates with teams to integrate user research into product development, leading customer engagements and providing best practices in UX Research.

Identify and qualify new business opportunities through high-volume outreach (phone, email, LinkedIn), research targets, nurture leads, coordinate with marketing and Solutions Account Executives, schedule demos, and build a strong pipeline by reaching decision makers and generating qualified opportunities.

The VP of Research, Machine Learning will lead the research direction for AI systems, focusing on intelligence design, evaluation frameworks, and advanced machine learning techniques while ensuring real-world applicability.

Identify and qualify new business opportunities through high-volume outreach (phone, email, LinkedIn), research targets, engage prospects, document pre-sales information, coordinate with marketing and account executives, and build a pipeline of qualified meetings and demos.

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.

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.

Academic role combining research, teaching and administration in computer science. Duties include leading research (publishing, funding, supervision), designing curricula, delivering high-quality teaching, contributing to management and outreach, and mentoring colleagues and students.