Senior Scientist/associate Director, Insight Data

hace 2 semanas

Barcelona, España AstraZeneca A tiempo completo

**Introduction to role**:
Are you a data engineering expert with a passion for transforming ideas into life-changing medicines? If so, AstraZeneca might be the perfect fit for you We are a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development, and commercialisation of prescription medicines for some of the world’s most serious diseases. We are dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.

**About our Insight Data Engineering team**:
**Accountabilities**:
As a Senior Scientist or Associate Director data engineer in our R&D Insight Data Engineering team, you will be responsible for delivering fit-for-purpose solutions to our CPSS (Clinical Pharmacology & Safety Science) colleagues. This includes receiving requirements from stakeholders, designing solutions that meet those requirements, leading the delivery (including test and release) of those solutions, and collaborating closely with our colleagues in R&D IT for the handover into BAU service.

**Essential Skills/Experience**:

- Delivery experience across key elements of the data and analytics domain.
- Great interpersonal skills and a collaborative approach to delivery. Ability to communicate effectively with different audiences (written and spoken) in English.
- Ability to understand business needs and translate them into a solution.
- Strong analytical and data manipulation ability.
- Strong data visualisation skills.
- Bachelor's or master's degree in computer science, data science/engineering, or related field.
- Excellent problem-solving, analytical, and critical thinking skills, with a keen attention to detail.
- Experience with ETL tools (Snaplogic, informatica, Snowflake pipes, etc).
- Familiarity with database technologies (e.g. snowflake, oracle, RDBMS, NoSQL, etc).
- Experience with cloud technologies (AWS, Snowflake, etc).
- Knowledge of CI/CD (including git).
- Experience with Data Warehousing and Data modelling (3NF, Star Schema).
- Ability to interrogate, analyse and document data systems.
- Proficiency in Programming Languages (Python, R, SQL, etc.).
- Experience of technical leadership in data and analytics.

**Desirable Skills/Experience**:

- Familiarity with Data visualisation Tools such as PowerBI, Spotfire, Rshiny, Python Dash or Flask, Streamlit, etc.
- Experience architecting data platforms, particularly Data Mesh architectures.
- Knowledge of Agile practises, particularly SCRUM and SAFe as well as Kanban.
- Familiarity with ML and AI workflows and AI-driven solutions.
- Understanding of the Drug Development process, particularly pre-clinical.

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.

**Why AstraZeneca?**
Join us at AstraZeneca and be part of a team that is unlocking the power of what science can do. 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.

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