Data scientist jobs in MacclesfieldCreate job alerts

Technical Account Manager / Solutions Architect (Principal / Director) - Manchester/Macclesfield A rapidly scaling Scientific AI company, backed by leading investors and trusted by global top-100 pharma, is redefining how scientific data is centralised, integrated and transformed into AI-ready assets. Their platform powers R&D, QC, CMC and manufacturing workflows across the life sciences, serving as the connective tissue in some of the world’s most complex scientific data ecosystems. We are seeking a Technical Account Manager — effectively a Principal Scientific Solutions Architect — to join the EMEA team. This is a senior, strategic, and highly customer-facing role at the intersection of science, data architecture, and commercial value. You will partner with major pharma organisations to accelerate their scientific data centralisation and AI-readiness initiatives, operating across large enterprise environments with multi-technology stacks already in place. Your Impact You will act as the primary technical leader across strategic enterprise accounts, combining scientific domain expertise, architectural depth, and commercial instincts. You will guide global pharma clients through complex data transformations, influence account growth and increase ROI, and deliver high-value outcomes across the entire customer lifecycle. You Will: • Partner with senior scientific, R&D IT, and data leadership to understand enterprise-level data environments, integration layers, and architectural constraints, • Lead technical strategy, presales engagements, solution mapping, RFP responses, and hands-on demonstrations across multiple scientific domains, • Drive adoption and long-term success through regular reviews, roadmap alignment, and proactive technical guidance, • Identify new use cases, expansion opportunities, and cross-functional value drivers within customer accounts, • Collaborate with Product, Engineering, and Project teams to secure resources, communicate technical needs, and influence solution direction, • Navigate complex scientific ecosystems, ensuring data from diverse instruments, systems and workflows is harmonised, centralised, and AI-ready, • Act as a trusted advisor across the entire customer journey — from presales architecture to post-deployment optimisation You Should Have: • A scientific background — PhD/MSc or extensive experience in large pharma/biotech environments, • Strong domain literacy across Preclinical, R&D, QC, CMC or Manufacturing environments, • A deep understanding of how scientific data is generated, used, analysed and automated across enterprise workflows, • Technical proficiency in data architecture, data pipelines, cloud stacks, APIs and ideally hands-on Python, • Comfort performing live demos, answering in-depth technical questions, and contributing to RFPs and technical proposals, • Experience operating within complex enterprise data environments — not greenfield — with familiarity across data warehouses, integration layers, and scientific informatics systems, • Commercial instincts: able to build relationships, recognise new use cases, support expansions, and influence account strategy, • A track record of working closely with scientists, data engineers, and commercial teams to deliver scalable, impactful solutions Who Thrives Here: This role suits someone who started as a scientist or bioinformatician, moved away from the bench, and built a hybrid career in scientific data, architecture, and customer-facing delivery. Someone who is equally comfortable discussing experimental workflows, reviewing a data pipeline, or advising on commercial expansion. Why Join: • Influence scientific data strategy at some of the world’s most advanced pharma organisations, • Work across cutting-edge cloud, data, and AI ecosystems, • A senior role with roadmap visibility across Sales, Product, Engineering, and Executive leadership, • Hihgly competitive compensation and equity, plus flexibility when not onsite with customers