Project Manager Automation R D Delivery positions focus on delivering results in their domain. This page aggregates open Project Manager Automation R D Delivery roles and what employers typically expect.
Project Manager - Automation & R&D delivery London About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Relation is offering an outstanding opportunity for a Project Manager to play a key role in Morgan, our recently announced research collaboration, aiming to scale the automated experimental capabilities that generate proprietary, large-scale multimodal datasets — the data that powers MORGAN, our foundation model of cellular behaviour. Morgan underpins our recently announced research collaboration with GSK to generate large-scale datasets of how human cells respond to genetic and chemical perturbation, training AI models that identify therapeutic targets with greater confidence, and you'll help drive its delivery forward. You will be joining a team with access to cutting-edge multi-omic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role has two distinct dimensions. As Project Manager, you will translate scientific and strategic objectives into actionable plans, coordinating delivery across an interdisciplinary team spanning wet and dry lab, owning cross-team dependencies and prioritisation, managing timelines and milestones across a complex matrix, and surfacing risks before they affect delivery. As the operational go-to, you will also establish governance and decision-making forums, maintaining documentation and reporting to a standard that supports a multi-year, partnered effort, coordinating resource and operational support across teams, and continuously improving how the programme delivers. Day to day you will: - Work with appropriate leaders and Project sponsors to understand the strategic objectives and delivery requirements. - Working in partnership with Project leadership, orchestrate the matrix team to deliver project objectives and requirements, motivating all team members with clear direction and communication - Working with functional leads to ensure appropriate resource allocation and onboarding supplementary resources for support of migration efforts - Proactively manage the project plan, budget, risks, and issues, escalating to senior management when appropriate. - Support leadership in addressing substantial risk, high impact situations with clear analysis, high transparency, and a sense of partnership; even if faced with significant adversity or major obstacles - Translate scientific and strategic objectives into integrated project plans, timelines, and milestones - Coordinate execution across the wet lab, lab automation, ML research, data science, and engineering teams; own cross-team dependencies and prioritisation includ…