Data Product Lead, Oncology Data Science Platforms

hace 2 semanas


Barcelona, España AstraZeneca A tiempo completo

**About AstraZeneca**

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies.

At AstraZeneca, we do this with the upmost integrity even in the most sophisticated situations because we are committed to doing the right thing We continuously forge partnerships that help bring world-class treatments to patients in new ways, combining our people’s outstanding skills with those of people from all over the globe.

**SITE DESCRIPTION**

Welcome to Barcelona, one of over 400 sites here at AstraZeneca, providing a collaborative environment where everyone feels comfortable and able to be themselves is at the core of AstraZeneca’s priorities, it’s important to us that you bring your full self to work every day. To help you maintain your best self, here’s a sneak peek into some of the things this site provides for you

List some of the activities that occur at your site:
Gym access After-work events, Lunch & Learns, Bright and spacious environment, Sustainable office working environment, Onsite Childcare, Networking events and more

**BUSINESS AREA**

The Oncology Data Science - Data, Analytics, and AI Platforms (ODSP) team comprise multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD ,Munich DE and Barcelona, ES 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 data computational tools to** support scientific decision making**

**What you’ll do**

As a data product lead, you’ll develop multi-omics data products which will serve as data foundation across our portfolio and will be used to influence portfolio and investment decisions. Working hand in hand with our data product consumers (data scientists, ML experts) you’ll help to shape data product strategy and priorities based on business value and user need. You’ll work closely together with software engineering teams to find novel ways to consume data through our tools and systems and you’ll be the go-to person when it comes to questions and trainings on your data product and its consumption.

**Main Duties and 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
- 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

**Essential requirements**
- Biology, Bioinformatics, data science or related field (e.g. Physics, Math; Master/ PhD level)
- Bioinformatics or related expertise (~3-5 years)
- Expertise (~3 years) 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
- Experienced working within cross-functional teams, including business data owners/stewards and technical product development staff

**Desirable requirements**
- Experience with multimodal healthcare data
- Experience with tools like Jira, Confluence

**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 already imagining yourself joining our team? Good, because we can’t wait to hear from you

**Competitive salary a



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