310 jobs
Isomorphic Labs London
Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.
Isomorphic Labs London
Lead all externalised drug discovery and preclinical lab operations, building and scaling a global CRO infrastructure for an AI-first drug design platform. Oversee experimental throughput, data QC and turnaround times, embed data-generation-by-design standards, and manage vendor governance, budgets and a team of CRO leads and operations managers.
Databricks London
Enterprise sales role driving adoption of Lakebase, a fully-managed serverless Postgres service for operational and AI-native applications, within a defined MEA territory. Partners with regional Account Executives to run multi-threaded sales cycles, orchestrate POCs for OLTP and reverse ETL workloads, and compete against legacy and cloud-native databases. Also acts as a force multiplier, enabling field teams and shaping go-to-market plays with Product, Marketing and Partner teams.
Databricks London
Owns the EMEA go-to-market strategy for Databricks' Financial Services vertical, spanning Banking/Payments, Capital Markets and Insurance. Sets vision, builds field sales assets and account/segment-level plans, cultivates C-level customer and partner relationships, and works cross-functionally with sales, pre-sales, marketing and enablement. Requires travel and reports to the VP of Financial Services, Cyber Security and Sustainability GTM.
Adecco London £600 – £750 pd
Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and engages stakeholders to translate complex business problems into data science solutions. Retail context with scope for personalisation, recommendation and experimentation work.
Michael Page Birmingham £85,000 – £95,000 pa
Lead enterprise-wide data and analytics capability for a large social housing organisation on a 12-month fixed term contract. Own the data strategy, governance framework, enterprise data architecture and BI/analytics delivery, while managing a data function and advising executive and senior leadership teams. Requires one day per week onsite at the Birmingham head office.
UCL London £43,981 – £54,019 pa
Conduct original independent research under a Principal Investigator in areas such as data science, machine learning, biomedical and environmental statistics, causal inference and applied probability. Produce conference presentations and top-journal publications, contribute to the department's research environment, and take on a limited teaching load (around 20% of a typical academic load).
Queen Mary University of London London £40,815 – £52,790 pa
Contributes to trial protocols, develops statistical analysis plans and conducts analyses across primary care, psychiatry, surgery and orthopaedics studies within a Pragmatic Clinical Trials Unit. Also expected to do a small amount of teaching, working in a collaborative research team at the Wolfson Institute of Population Health.
VinUniversity Hanoi, Vietnam
A research-focused faculty role in data science, combining independent research, high-quality publications and securing competitive funding with teaching, course delivery and student supervision. The position sits within an engineering and computer science college and collaborates with a big data research institute, spanning areas such as IoT, distributed systems, computational intelligence and applied data science in genetics, agriculture and healthcare.
Technical University of Denmark Lyngby, Denmark
A professorial role leading research in biostatistics and environmental statistics, with a focus on human health and applications using Denmark's highly registered population. The post holder shapes the Statistics and Data Analysis section's scientific direction, supervises graduate and postdoctoral researchers, and teaches across BEng, BSc, MSc and PhD levels.
University of Cambridge Cambridge £37,694 – £46,049 pa
Develops mathematical and computational methods for privacy-preserving human pangenome references, including differentially private pangenome graphs, privacy-aware graph algorithms, and benchmarking on genomic data. The interdisciplinary role sits in an applied maths department and involves collaboration on statistical, optimization and differential privacy aspects, with freedom to shape the project's direction.
Synthesia London
A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.
Adecco London
Leads advanced analytics and data science projects end to end, applying statistical modelling to surface trends and opportunities for a global pharmaceutical client. Translates complex datasets into actionable insights and presents findings to senior stakeholders, while collaborating with reporting teams on dashboards and supporting adoption of AI-enabled analytics.
University of Hertfordshire Hatfield £39,560 – £46,970 pa
Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications using heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.
University of Essex Milton Keynes £41,950 pa
Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play and pre-match betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns.
