Leads clinical operations strategy and execution across the full lifecycle of a drug development asset, ensuring high-quality, compliant, and efficient delivery of global clinical trials. Works cross-functionally to shape development plans, manage risk, and align operational delivery with scientific and regulatory goals. Provides strategic leadership to study teams and represents clinical operations at senior governance levels.
Leads clinical operations for a key asset across its full lifecycle, setting the operational strategy and ensuring high-quality, timely delivery of clinical studies. Works closely with cross-functional teams to align execution with scientific and regulatory goals, while managing risks, vendors, and stakeholder engagement. Focuses on patient-centric innovation and inspection readiness within a global biopharma environment.
This role involves monitoring and enhancing security across endpoints, cloud platforms, and networks, with a focus on detection engineering, incident response, and threat intelligence. The engineer will develop detection rules, respond to security incidents, and collaborate with IT and research teams to integrate security into scientific workflows. Work includes tuning SIEM and EDR tools, managing vulnerabilities, and improving security posture in a high-stakes research environment.
Develop and lead a plant cell-based screening platform to evaluate carbon fixation and photosynthetic efficiency, using suspension cultures and genetic engineering techniques like CRISPR. Identify improved enzyme variants and metabolic pathways, then validate top candidates in whole plants to enhance crop performance. Work within a multidisciplinary team to drive discovery from lab to scalable agricultural solutions, with strong emphasis on IP generation and ethical innovation.
This role involves leading the medical and scientific oversight of clinical trials, ensuring protocol integrity, participant safety, and high-quality data execution. The Senior Manager will apply AI-enabled tools and digital approaches to enhance trial design, conduct clinical monitoring, manage safety reviews, and support regulatory filings. Collaboration with cross-functional teams and external investigators is central to driving trial success and innovation in clinical development.
This role involves ensuring medical and scientific integrity across clinical trials, with responsibilities spanning protocol design, clinical data and safety review, risk mitigation, and medical monitoring. The position emphasizes the use of AI-enabled tools and digital approaches to enhance clinical trial design, execution, and data analysis. The manager will lead clinical input into regulatory filings, study reports, and inspection readiness while supporting cross-functional teams in delivering high-quality, patient-centric clinical development programs.
Perform on-site installation, maintenance, and repair of advanced medical diagnostic systems in NHS and private laboratories. Provide technical troubleshooting and customer support across complex clinical environments. Receive full product training and work within a globally recognised healthcare technology organisation.
Perform on-site service and repair of advanced medical diagnostic systems in NHS and private laboratories, ensuring minimal downtime through proactive maintenance and technical troubleshooting. Work closely with lab personnel to deliver reliable diagnostic solutions while receiving full product training. Role involves frequent customer visits and some weekend work as part of a five-day working week.
This role focuses on enabling secure and compliant cross-border data transfers for AstraZeneca’s Beijing AI Center, primarily from global R&D into China. The scientist will lead first-pass triage, provenance tracing, metadata coordination, and evidence preparation for data sharing requests, ensuring alignment with regulatory requirements like DOJ EO 14117 and internal governance. It bridges scientific data, compliance, and operational execution to accelerate AI-driven drug discovery while maintaining audit readiness and building scalable processes.
Performs ad hoc and exploratory data analysis to address complex business and medical questions that existing platforms cannot answer. Translates ambiguous queries into analytical approaches, validates datasets, and delivers clear, decision-ready insights to stakeholders in Medical Affairs. Also pilots new data sources, methods, and AI-driven techniques to inform future platform development and roadmap priorities.
A Senior Manager, Data Scientist in Pfizer's Innovation, Data & Analytics (IDA) Team leads the design and implementation of advanced analytical and AI-driven solutions to support data-informed decision-making across Medical Affairs. The role involves developing machine learning and natural language processing models, defining evaluation frameworks, and translating complex medical and business questions into robust analytical approaches. Collaboration with data engineering, AI/ML teams, and governance stakeholders is central, with an emphasis on responsible AI, scalability, and production-ready workflows using real-world healthcare data.
A Senior Manager, Data Scientist role on Pfizer's Innovation, Data & Analytics (IDA) team, leading the design and application of advanced analytical and AI/ML methods to support data-informed decision-making in Medical Affairs. The role involves translating complex medical and business questions into robust analytical frameworks, developing models using real-world healthcare data, and collaborating with engineering and governance teams to operationalize scalable, compliant solutions. Emphasis is placed on responsible AI use, model validation, and cross-functional leadership in a hybrid work environment.
A Senior Manager, Data Scientist role within Pfizer's Innovation, Data & Analytics (IDA) Team, focused on designing and applying advanced analytical and AI-driven methods to support data-informed decision-making in Medical Affairs. The role involves leading model development, cohort segmentation, and evaluation frameworks while collaborating with engineering, governance, and business stakeholders. It emphasizes methodological rigor, responsible AI use, and translating complex medical and business questions into scalable analytical solutions.
A Senior Manager, Data Scientist role in Pfizer's Innovation, Data & Analytics (IDA) team, focused on designing and applying advanced analytical and AI-driven methods to support Medical Affairs. The role involves leading model development, cohort segmentation, and validation frameworks while collaborating with engineering, governance, and business stakeholders. It emphasizes responsible AI use, real-world healthcare data analysis, and translating complex medical questions into scalable data solutions.
