Associate Director, Data Product

**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 implement efficient, scalable molecular data operations and build multi-modal data products, enabling novel biomarker identification and disease understanding

**Responsibilities**:

- Develop the strategy for and build multi-omics data products/ data atlases in a FAIR way which supports AZ cross-project delivery
- Plan and drive data curation-, integration, -management and operation efforts (coordination between scientists, engineers); conduct data quality control and normalization where needed
- Lead small cross-functional teams and ensure successful product delivery
- 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
- Coordinate and streamline data transfer, exchange, and integration activities with our vendor network
- Work with data product consumers (bioinformaticians, data scientists, scientists) to understand requirements, develop best practices in data wrangling/curation and storage of RWE data, and gather feedback
- Develop documentation and training material
- 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
- Expertise in data science/management and or data centric project/alliance management and integration with data entity focus genomics, transcriptomics, proteomics
- 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

**Desirable for the role**:

- Experience with multimodal healthcare data
- Experience with tools like Jira, Confluence
- People management experience

**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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