large multi-modal datasets to derive quantitative biological insights to support their targeting to patient populations. You will develop efficient platforms to automate complex data analysis tasks, implement cutting-edge predictive approaches, and data visualization/modelling tools to promote efficiency of data-driven decision-making. You … the analysis of antibody repertoire sequencing and use advanced methods to predict antibody function. Implement advanced statistical approaches for the analysis of large omics data sets and cross-modality data integration (E.g. un/self-supervised machine learning methods, knowledge graphs) Develop workflows for processing and analysing both … in house and publicly available disease derived data sets, specifically bulk and single-cell transcriptomics and proteomics. Designs and executes data analysis plans, communicates findings, and recommends follow-up actions in multiple settings, including one-to-ones, seminars, group, and project meetings. Participates in development of team and more »
this role you will take responsibility for global reporting across various different business units and ensure stakeholders have the information they need to make data driven decisions. The organisation have invested heavily in its data platform which is hosted in Azure and you will have the opportunity to … work with the Azure tech stack to further supplement your reporting expertise. You will work as part of a collaborative team of Data Engineers, Data Analysts and Data Scientists to enable to organisation to become truly data driven! As part of this role, you will be … responsible for some of the following areas. Create custom visualisations using Power BI to deliver data to multiple business units Gather reporting requirements from stakeholders, translating into technical requirements before briefing the wider team Extract raw data from various data points before transforming ready for visualisations using more »
tools and APIs to support ML teams in every stage of their ML workflows. You will champion automation of the entire ML lifecycle, covering data ingestion, model development, model training, model management, deployment, serving and monitoring. On a day to day basis you will prototype tools and APIs to … a focus on software engineering or equivalent experience. Deep understanding of software development practices. Experience designing python APIs. Experience working with ML engineers and data scientists or a basic understanding of ML principles and frameworks. Cloud platform experience. Approachable and able to play an intra- and inter-team supporting … advance of commencing the interview process with us. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But more »
