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Orange Quarter is proud of its relationship with a leading life sciences company that uses artifical intelligence to predict how certain pharmaceutical drugs perform in the market. The product? A centralized data platform that works across 3 key verticals; drug development, direction, and risk. Examples? Understanding how to meet the unmet needs of neurodegenerative disease medication, interpreting the pain points with current diabetic drugs, or improving how a cancer treatment is performing in the market. With links to both the Universities of Cambridge and Leiden, they value being a front runner in using data in the pharamaceutical space to directly have a positive impact on patient’s lives.
With global links to healthcare leaders, industry advisors, and pharmaceutical giants, the successful candidate would be building out the data landscape whilst maintaining their current data platform that generates insights into clinical problems. There will be an emphasis on high-quality ETL pipeline building , extending the current datalake infrastructure, and ensuring high data quality for the models created by your new MLOps colleagues. The role itself is highly collaborative, cross functional, with the opportunity to test for Ai bias, extend existing Product capabilities, and working on a wide range of big data sets.