Own the orchestration layer and agent architecture behind the Innovation, Data & Analytics team's AI-based workflows, building and hardening agentic systems that translate analytical methodology into reliable production tools.
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.
As a Security Engineering Manager, you will lead and scale a high-performing team responsible for securing Isomorphic Labs' AI-driven drug discovery platform. You'll define the technical security roadmap across cloud infrastructure, IAM, secure SDLC, and security monitoring, while enabling rapid innovation for ML researchers and drug discovery teams. The role involves pioneering AI-first security architectures, leading transformational projects, and acting as a key liaison within the Alphabet/Google ecosystem.
This role involves designing and executing high-throughput genome engineering experiments and scalable phenotypic measurements in bacterial systems to generate training data for multi-modal biological models. The researcher will work at the intersection of wet-lab biology and AI, collaborating closely with computational scientists to build and validate models. The position emphasizes method development, data generation, cross-disciplinary collaboration, and mentorship within a cutting-edge synthetic biology institute.
Design and develop computational algorithms and AI/ML methods to translate metagenomic sequencing data into actionable clinical and public health insights. Focus on taxonomic classification, antimicrobial resistance prediction, and scalable workflow integration within a multidisciplinary team. Work leverages long-read sequencing and large-scale pathogen genomic datasets to advance diagnostic tools.
The Team Coordinator supports the President Team by ensuring seamless day-to-day operations, executive meeting readiness, and high-quality guest experiences. This role handles physical logistics for events, internal speaking engagements, and offsites, acting as the on-the-ground point of contact for high-profile visitors and external facilitators. The position requires meticulous attention to detail, proactive problem-solving, and close coordination with internal and external stakeholders to maintain flawless executive suite operations.
Lead the development and deployment of data-driven analytics solutions to optimise clinical trial planning, execution, and resource allocation across global studies. Translate operational challenges into predictive models, dashboards, and decision-support tools while collaborating with cross-functional teams including clinical operations, data science, and technology. Mentor a team of analysts, ensure regulatory compliance, and drive the integration of analytics into operational workflows to improve trial efficiency and quality.
This role involves leading the development and deployment of Lab-in-an-Automated-Loop (LIAL) systems, integrating computational intelligence with physical laboratory experimentation. Responsibilities include collaborating with cross-functional teams to design and implement these systems, translating scientific requirements into technical solutions, and driving innovation through AI and data-driven methods.
This role involves developing, optimizing, and validating molecular bioanalytical assays—such as qPCR, ddPCR, and RNA isolation—to support mRNA-based clinical programs. The scientist will work within GCL0-compliant (GCLP) frameworks to generate pharmacokinetic and pharmacodynamic data, ensuring regulatory compliance and data integrity. Collaboration with cross-functional teams and adoption of digital tools and automation are key to advancing clinical trial execution and analytical processes.
This role involves leading scientific strategy and execution for immunogenicity and ligand binding assays (LBA) in support of Moderna’s mRNA-LNP therapeutic programs. The Principal Scientist will oversee regulated bioanalytical activities including assay development, validation, and sample analysis, ensuring compliance with GcLP, GLP, and GCP standards. The position plays a key role in clinical development by generating high-quality data to inform regulatory submissions and advance innovative medicines, with opportunities to engage in AI-enabled and digital analytical approaches.
This 12-month industrial placement offers hands-on experience in drug discovery within AstraZeneca’s Discovery Sciences team in Cambridge. You’ll work on laboratory-based projects involving assay development, automation, advanced cell models, and data analysis using tools like GraphPad Prism and AI-enabled platforms. The role emphasizes collaboration, scientific communication, and contributing to innovative research in a global, inclusive environment.
This role involves leading the global Oncology R&D strategy at AstraZeneca, shaping therapeutic area priorities by integrating clinical, scientific, and commercial insights. The individual will advise senior leadership on portfolio optimization, investment decisions, and strategic trade-offs, using rigorous analysis to drive innovation and patient impact. It requires influencing without authority, aligning cross-functional teams, and maintaining strategic rigor across complex R&D landscapes.
This is a general talent network sign-up opportunity rather than a specific job role. Candidates can submit their resume for future consideration at Recursion, a clinical-stage TechBio company using AI and automated biology to accelerate drug discovery. The company emphasizes bold, ethical innovation and cross-functional collaboration to address unmet medical needs.
Oversee regional operations for engineering projects, ensuring on-time, on-budget delivery while managing multidisciplinary teams and cross-functional collaboration. Drive operational excellence through KPI monitoring, risk mitigation, and continuous improvement initiatives. Support commercial growth by aligning technical capabilities with strategic customer needs and contributing to innovation across global teams.
This role involves providing medical and scientific leadership in translational medicine for dermatology programs, spanning early to late-stage drug development. The expert will design and implement strategies for clinical pharmacology, biomarker development, and regulatory submissions, while leading cross-functional teams and supporting in-licensing opportunities. Work includes oversight of clinical studies, publication strategy, and engagement with regulatory and external stakeholders.
