Associate Director, Analytics Data Preparation Barcelona, Warsaw, Gothenburg
Competitive salary and Benefits
Make a more meaningful impact to patients' lives around the globe. Here you'll have the chance to create a significant difference to patients' lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines - for the world's most sophisticated diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem. With our ground-breaking pipeline, the outlook is forward-thinking.
Be proud to be part of a place that has achieved so much yet is still moving forward. Our inquisitive culture is uniquely open and collaborative. Here, you'll be surrounded by curious minds from a diverse set of backgrounds who think differently about the world. A place that's investing in the latest technology, data and innovative ways of working. Here you'll be backed with everything you need to be at the forefront of digitising our organisation. Whether that's defining the future of Pharma or upskilling yourself in our Digital and Data Academy.
About the roleWithin the Data Office, you will be a key member of the Analytics Data Preparation team. This technical team is dedicated to preparing tailored datasets to accelerate data science activities across AstraZeneca's R&D portfolio. In this senior technical position, you will lead the creation of customised datasets and data assemblies for our scientists. We ask you to draw upon various blends of analytical, data-scientific and data development skills to assess data-scientist project objectives, understand the data and system landscape, then use this information to craft, generate and verify your outputs.
We are looking for a specialist in data formatting, wrangling, transformation and working with data toolkits to achieve results rapidly. As no two projects will be the same, you will use technical, creative problem-solving and all-round good development practice skills to achieve successful outcomes, including supporting and mentoring other team members. Furthermore, you will be encouraged to utilise your experience to help the team improve development practices, support an agile, value-focused culture and provide input into technical projects sought at improving data-science tools and infrastructure. Your work within our team will enable data evidence and scientific innovation to proceed at pace and at scale within AstraZeneca, ultimately accelerating the development of new, life-changing medicines for patients. This is a line management role where you would manage a small team of Data Developers.
AccountabilitiesLead technical and data analysis work to establish requirements for new data preparation projects.Design data preparation workflows and define outputs (e.g., proposed data models and modes of access) and success criteria for projects.Request and setup appropriate analytical environments to achieve data preparation and data-scientific outcomes.Perform data wrangling, cleaning, combining, transformation, cross-linkage etc. to achieve new datasets and data assemblies that enable specific data-scientific research workflows to be conducted to a high quality and in an accelerated manner.Generate reusable scripting and code notebooks for sharing, encouraging reuse and supporting smart working practices.Set out data verification and testing plans, including UAT and user handover (data, code, information 'readmes').Draw on passion for innovative solutions to support the team lead in driving better business results, help enable entirely new data science paradigms and support operational efficiency.Actively encourage an agile and outcomes-focused team approach.Partner with Standards Group and Early Study management colleagues to support portfolio and TA level data standards to enable the right balance of efficiency, flexibility and value in how data is coordinated and used.Manage a small team.Essential RequirementsKnowledge and preferably experience of the Big-Data ecosystem. This might include: HDFS, Hadoop, Parquet, Spark, Spark streaming, HBase, HIVE, PIG, Presto, Sqoop, Mesos etc.Pharma or Healthcare experience.Excellent skills in one or multiple scripting and programming languages (Python, R, SQL etc).Good awareness of a range of data & analytics patterns including distributed computing (Hadoop/Spark), NoSQL, virtualization, data streaming, container technology (e.g., Docker), traditional warehousing.Experience of data analysis profiling, investigating, interpreting and detailing data requirements, e.g. data modelling techniques and hands-on modelling experience.Solid grasp of applied mathematical, machine learning and AI techniques and workflows.DesirablePrior line management experience.Experience of agile.
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