2 of 2 Pharmaceutical Jobs in Macclesfield

platform turns fragmented lab data into AI-ready, interoperable assets, accelerating discovery and development, positioning itself as the backbone of data-driven science in some of the most innovative Pharma giants globally. I am seeking highly experienced hands-on and client-facing individuals to be onsite in London or Cambridge, to engage in unique pharma parterships and and reshape how … scientists generate insights and bring therapies to patients faster. You Should Have: PhD Or MSc with 5+ years of Pharma/Biotech industry experience (Senior/Principal levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Deep experience in Python, Data Modelling, Data Integration, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews More ❯

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 … 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 More ❯