4 of 4 Data Mining Jobs in Cambridge

Description Summary#LI-Hybrid Internal Title: Associate DirectorLocation: Cambridge, MANovartis is a leader in data science and model-informed drug development. We are seeking an experienced Data Science leader to advance data-driven drug discovery and development by integrating advanced analytics, machine learning, and mechanistic modelling approaches.In this … making from discovery through clinical development.You will contribute to departmental strategy, drive innovation in AI-augmented modelling approaches, and ensure the proactive use of data science and in silico methods to guide compound progression, prioritization, and clinical decision-making.This role reports to the Head of Data Science ...

Observational Research team, driving and accelerating delivery of technical capabilities to supporting evidence generation and studies. You will assist the due diligence on new data providers/vendors to advance AZ Real World Evidence (RWE) data maturity, help shape the right RWE data strategy for a range … Therapeutic Areas and provide informatics support for data acquisitions. You will also serve as a supportive member of the observational study team to support real-world observational studies. The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected ...

research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.This … collaborate across research, engineering, product, and teams.Preferred qualificationsExperience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data.Recent publications at leading machine learning, AI, data mining, robotics, or systems venues.Experience developing models at scale or building complex research systems.Experience with simulation environments, digital twins, multimodal data ...

research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. … research, engineering, product, and teams. Preferred qualificationsExperience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data ...