Join us at AstraZeneca, a science-led, pure-play pharmaceutical company where sustainable, FAIR (Findable, Accessible, Interoperable & Reusable) data is the lifeblood of our operations. As a member of the Data Office Data Curation Team, you will handle the interpretation and representation of complex biological and medical data, producing controlled vocabularies and following a structured data model. This role is critical for the delivery of AstraZeneca’s corporate strategy, where Data, AI and Digital are foundational value drivers for Innovative Science and potential corporate differentiators.

Accountabilities:

In this role, as a member of the Study Patient Data Product and Platform team you will handle the interpretation and representation study information, by curating exisitng information or interpretation ethical (consent) or legal information to create insight into the multiple data types used during the development of clinical products. You most likely have a background is study management with a good understand of the clinical studies and how data from a clinical study can be used.

Essential Skills/Experience:

• Relevant degree in Life Sciences, Information/Data Science, Computer Science, Informatics, IT, or other related discipline
• 2-3 years of experience in data curation and clinical data management, ideally in the healthcare space
• Operational understanding of common data models, data standards, vocabularies, ontologies etc. and their implementation within a centralized repository
• Experience working with IT partners in the implementation of data standardization & curation projects
• Ability to learn new tools and technologies
• Experience in creating system and user documentation artifacts related to data standards implementation & curation
• Travel – willingness and ability to travel domestically & internationally.
• Resilience – ability to overcome and motivate others in the face of a changing environment

Desirable Skills/Experience:

• Ability to work with high-throughput data ingestion pipelines through command line approaches, with knowledge of Python, R or equivalent coding language
• Experience with clinical data curation and familiarity with industry standards

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we follow the science to explore and innovate. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world. We are committed to making a difference by fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.

Join us at AstraZeneca's Biopharmaceuticals R&D division where we strengthen our pipeline to make a meaningful impact on patients. Be part of a dedicated Research & Development team, where we think holistically about patients and are always learning from those living with diseases. We harness digital, data science & AI to fast-forward our research, making sure work born in a lab can make a real difference. Everyday, impacting patients' lives across the world.

Are you ready to make a difference? Apply now and join us in our mission to improve patient lives through science!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.