We are seeking a dedicated BI Analyst - Sales & Marketing to join an analytics team within the lifescience industry in Cheshire. The role focuses on analysing data to support sales and marketing strategies effectively. Client Details A global lifesciences business with over 1,000 staff based in UK Description Analyse sales and marketing data … good knowledge of Power BI and SQL Proficiency in business intelligence tools and data visualisation software. Experience in analysing sales and marketing data. Knowledge of the lifescience industry or a similar sector. Ability to collaborate effectively within a team environment. Excellent communication skills to present data-driven insights. Job Offer 6 month contract, potential to extend More ❯
the lifesciences sector. Their 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 … PhD Or MSc with 5+ years of Pharma/Biotech industry experience (Senior/Principal levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar LifeScience domain Deep experience in Python, Data Modelling, Data Integration, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated More ❯
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 lifesciences, 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 More ❯
