648 jobs for “Data Innovation”
Hands-on role designing, building and maintaining modular end-to-end data-flows across GSK's R&D division, integrating diverse sources into reusable, machine-readable assets with compliance built into the pipeline. Combines technical delivery and coding with coaching and peer review to embed industry best practice, working in a complex matrix environment with varied stakeholders.
Azure · GCP
Designs, builds and maintains modular end-to-end data-flows across GSK's R&D division, integrating diverse sources such as protocol development, DSUR and clinical trial data into a unified machine-readable format. Combines hands-on coding and orchestration with compliance-by-design, documentation and coaching or peer review to embed industry best practice.
Azure · GCP
IQVIA
Monitors clinical trial sites across selection, initiation, monitoring and close-out visits, ensuring compliance with GCP and ICH guidelines. Tracks recruitment, regulatory submissions, CRF completion and data queries, and maintains Trial Master File documentation. Works within a sponsor-dedicated team, liaising with sites and study team members.
IQVIA
Monitors oncology clinical trial sites through selection, initiation, monitoring and close-out visits, ensuring compliance with GCP and ICH guidelines. Tracks recruitment, regulatory submissions, CRF completion and data queries, and maintains Trial Master File documentation. Works within IQVIA UK's multi-sponsor Site Management team, with travel to sites required.
Trial Master File · Investigator's Site File
Agenda Life Sciences
Oversee a transgenic facility producing around 100 genetically modified animal models annually, advising researchers on project design and methodologies. Lead and develop three specialist technical staff while managing cryobanks, budgets, cost-recovery and regulatory compliance. The role combines hands-on molecular biology and transgenesis expertise with operational leadership in a university-linked biomedical research setting.
Genomics
Staff-level product engineer leading a petabyte-scale analytical data platform built on multi-tenant ClickHouse, spanning database internals through to data-serving systems. Work includes sharding and replication strategy, materialised views, self-healing pipeline automation, and Data-as-a-Service productisation, plus shaping data foundations for an agentic AI layer. The role combines hands-on engineering with line management of a small team and setting platform-wide technical direction.
ClickHouse · Mystra · MystraAI
Moderna · 1001–5000 people · Late stage
Develops, validates and runs ligand-binding and cell-based bioanalytical assays generating pharmacodynamic and immunogenicity data for clinical mRNA programmes. Works in a GcLP-regulated lab using Thermo Watson LIMS and electronic notebooks, handling clinical samples, critical reagents, SOPs and validation reports while partnering with Clinical Operations and Sample Management.
Thermo Watson LIMS · Watson LIMS · LabVantage eLBN +1
Leads the full statistical contribution to a clinical development programme, defining statistical strategy for trial design, analysis and regulatory submissions, and representing Biostatistics in interactions with the FDA, EMA and PMDA. Also manages outsourcing to CROs/FSPs and contributes to governance and development-plan decisions across therapeutic areas.
SAS · R
Leads the full scope of statistical contribution to a clinical development programme, defining statistical strategy and methodologies for trial design, analysis and regulatory submissions. Represents Biostatistics in interactions with authorities such as FDA, EMA and PMDA, and manages outsourcing or internal statistical programmers. Two positions support multiple therapeutic areas.
SAS · R
Lead and develop a team of Central Monitors while shaping risk-based monitoring strategies across a global clinical development portfolio. Oversee trial-data surveillance, signal detection and Key Risk Indicators, translating complex risk signals into actionable insights for Clinical Trial Teams. Works in a global matrix with clinical, data and risk-surveillance teams, driving continuous improvement through analytics and technology.
Artificial Intelligence
Lead and develop a team of Central Monitors while shaping risk-based monitoring strategies across a global clinical development portfolio. Oversee trial-data surveillance, signal detection and insight generation, translating complex risk signals into actionable insights and designing study-specific Key Risk Indicators and Quality Tolerance Limits.
Artificial Intelligence
Ellison Institute of Technology · 501–1000 people · Non-profit
Hands-on role developing advanced electronic interfaces, instrumentation and measurement systems for next-generation nanopore sequencing, from proof of concept to integrated multi-channel sensing. Focuses on precision analogue measurement, low-noise picoampere-level circuit design, data acquisition and system integration, working alongside a Senior MEMS Development Engineer and external suppliers.
Nanopore Sequencing · MEMS · Oracle Cloud
Ellison Institute of Technology · 501–1000 people · Non-profit
Builds computational tools and data analysis pipelines for plant biology, working at the intersection of multi-omic analysis and software development. Integrates transcriptomics, metabolomics, proteomics and imaging data, developing pipelines for image segmentation, feature extraction and phenotyping, and preparing datasets for agentic workflows. Collaborates closely with bioinformaticians, research scientists and AI engineers in the Bioinformatics platform team.
Isomorphic Labs · 201–500 people · Series A
Contribute to the design of novel large-molecule therapeutics by applying computational and machine learning methods to predict biologics properties such as affinity, developability and immunogenicity from sequence. Work within an interdisciplinary computational sciences team alongside ML and biologics discovery experts, benchmarking models, analysing lab data and shaping data-generation strategies for active learning.
AlphaFold
Isomorphic Labs · 201–500 people · Series A
Lead DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments while integrating DMPK, PD and toxicology data for dose and safety predictions. Work closely with AI/ML platform teams to optimise computational ADME models and author regulatory sections, in a hybrid Cambridge, MA role.
Python · R
