DescriptionClinical Data EngineerAbout Astellas: At Astellas we offer an inspiring place to work and a chance to make your mark in doing good for others. Our expertise, science and technology make us a Life Sciences company, our open and progressive culture is what makes us Astellas. It’s a culture of doing good for others and contributing to a sustainable society. Delivering meaningful differences for patients is our driving force. We all have a significant opportunity to make that difference, working locally in the areas we know best, whilst drawing inspiration from the different insights and expertise we have access to globally and from our innovative, external partners. Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword, it’s a guiding principle for action. We believe all staff have a role to play in creating a patient-centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team, or division. Our ethos is underpinned by the Astellas Way, comprising five core values: patient focus; ownership; results; openness and integrity. We are proud to offer an inclusive and respectful working environment that fosters collaboration and ownership. Our aspiration is to bring the best minds together, to provide them with world-leading tools and resources and a unique structure that fosters real agility and entrepreneurial spirit. The Opportunity: As a Clinical Data Engineer, you will be responsible for designing and implementing customized data pipeline architecture solutions tailored to the complexities of life sciences research and development. It also includes supervising the integration and management of various clinical data and data sources, such as clinical trial data, operational data, lab data, wearables data, and real-world evidence. You will also hold a strategic position in advancing the life sciences company's mission by using data to drive scientific progress, improve patient outcomes, and efficiently and securely introduce ground-breaking therapies to the market. Hybrid Working: At Astellas we recognise the importance of balancing your work and home life, so we offer a hybrid working solution allowing time to connect with colleagues in person at the office alongside the flexibility to work from home; optimising the most productive work environment for you to succeed and deliver. Key Activities for this role:

Responsible for data operations on AWS architecture. Activities include creating and monitoring the data load ETL processes, ensuring data quality, automation of the loads, and continuous improvement. Strong knowledge of RWD assets including data sources like IQVIA, SYMPHONY, and various other OMICS sources. Collaborate with Advanced Analytics Solution teams to identify required technology architecture needs to design and implement a solution delivering near-term impact and aligned with long-term strategies. Strong proficiency in Python and Django framework including experience with web technologies such as HTML, CSS, JavaScript, and AJAX. Understanding of RESTful APIs and web services integration. Additionally, Familiarity with deployment tools such as Docker, Heroku, AWS, and Azure. Knowledge of database management systems, particularly PostgreSQL or MySQL.

Essential Knowledge & Experience: Substantial years of relevant experience working in data architecture, engineering roles, or related roles within a healthcare/Life Sciences industry. Expertise in ETL, data modelling, and data integration techniques. Proficiency in programming languages commonly used in RWD data ingestion, such as Python, and Django framework. Expertise in working with web technologies such as HTML, CSS, JavaScript, and AJAX Strong command in RESTful APIs and web services integration. Knowledge of database management systems, particularly PostgreSQL or MySQL. Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts. Education/Qualifications: Bachelor of Science degree in Computer Science, Information Systems, Data Science, or equivalent. Additional Information: This is a permanent, full-time position in the United Kingdom or Canada. This position follows our hybrid working model. Role requires a blend of home and a minimum of 1 day per quarter in our Addlestone office. Flexibility may be required in line with business needs. Candidates must be located within a commutable distance of the office. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.