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**About AstraZeneca**
At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.
**Oncology Data Science**
The Oncology Data Science - Data, Analytics, and AI Platforms (ODSP) team comprises multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our **data as a true business asset**, organizing our data so that it’s **accessible** and **easy to find, integrated, and re-usable** for Humans & AI, and building the best **computational tools** to **support scientific decision making**.
**What you’ll do**
The Oncology Data Science Platforms Team is delivering the FAIR data foundation of clinical, molecular and biosamples data to the Oncology data consumers (scientists, bioinformaticians, data scientists etc.). In your role you’ll lead a team of data experts to realize efficient and scalable molecular data operations and build multi-modal data products, accelerating novel biomarker identification and disease understanding.
**Responsibilities**:
- Develop and drive the implementation of data product and data operations strategies, that align with the overall business objectives of AZ Oncology and data consumer needs
- Develop the strategy for and drive the build of multi-omics data products/ data atlases in a FAIR and high-quality way which supports AZ cross-project delivery
- Manage a team of data product leads and data operations specialists including task assignment, progress tracking, and performance evaluation; drive the development of guidelines and best practices and enable your team to build these into their day-to-day deliveries
- Work together with data engineers to automate data operations as much as possible
- Quantitatively observe and control product usage, to quickly understand gaps and issues
- Identify opportunities for training/ education and drive/ support development of training and communication material
**Education, Qualifications, Skills and Experience**
**Essential for the role**:
- Biology, Bioinformatics, data science or related field (e.g. Physics, Math; Master/ PhD level)
- Bioinformatics or related expertise (~8 years), with at least 2-3 years in a team lead role
- ~ 3 years expertise in multi-omics data management/ data product builds
- Deep understanding of the FAIR data principles and how to translate and implement requirements into a typical data flow
- Great communication and organization skills as well as stakeholder mgmt. experience
- Experienced working within cross-functional teams, including business data owners/stewards and technical product development staff;
**Desirable for the role**:
- Data Governance experience is a plus
- Experience with Graph database technologies is a plus
- Knowledge about agile ways of working
**Why AstraZeneca?**
At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.
**So, what’s next?**
Are you ready to bring new ideas and fresh thinking to the table? Brilliant We have one seat available and we hope it’s yours.
**Competitive salary and benefits package on offer.**
**Where can I find out more?**
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