About Astellas:
At Astellas we are a progressive health partner, delivering value and outcomes where needed.
We pursue innovative science, focussing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under-served disease areas and in life-threatening or life-limiting diseases and conditions.
We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs are guiding our development activities at every stage.
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.
We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies. We deliver the latest insights and real-world evidence to inform the best decisions for patients and their care-givers, to ensure the medicines we develop continue to provide meaningful outcomes.
Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.
The Opportunity:
As a Clinical Data Innovation, you will serve the purpose of fostering innovation and operational efficiency through the facilitation of data-driven decision-making processes, expediting drug discovery initiatives, and bolstering regulatory compliance efforts. You will be managing regulatory information utilizing IDMP requirements as a baseline.
You will be involved in the responsibilities of decision making on the system changes and budgeting. This is 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 Responsibilities:
- Support the development and maintenance of comprehensive architecture strategies tailored to the needs of managing and transferring clinical trial data, from research and collection to submission.
- Research and implement innovative data technologies and methodologies for Master Data Management and Data Quality (e.g. Reltio, Data Quality checks etc.).
- Develop and implement data strategies to ensure the accuracy, integrity, and security of clinical data.
- Collaborate closely with other DigitalX team members and data professionals to integrate assigned systems or environments with other systems and workflows, ensuring a smooth and controlled flow of data.
- Support designing scalable architectures to track and maintain product data and associated automated jobs.
- Oversee and support development of APIs, interfaces, and middleware solutions for seamless communication and data exchange between clinical software systems and databases.
- Responsible for Data Quality (DQ) business rules implementation, DQ Analysis, and DQ Remediation activities.
Essential Knowledge & Experience:
- Significant years of experience working in Master Data Management solutions and Data Quality framework within a healthcare industry.
- Deep understanding of clinical data systems, as well as related environments and tools.
- Proficient in Reltio data model configuration (Entity types, attributes), matching rules, operational values and survivorship rules, relationships, User Interface, and hierarchies.
- Proficiency in SQL and data quality tools (e.g. Talend, Databricks, Informatica Data Quality)
- Strong understanding of ETL/ELT processes, and cloud based scalable data storage analytics platforms such as Azure, AWS, and GCP.
- Knowledge of clinical/product data systems (e.g. Reltio, Databricks) and experience in system configuration, maintenance, and troubleshooting .
Education:
- Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field or equivalent.
Additional information:
- This is a permanent, full-time role.
- This role is based in Poland.
- Role requires a blend of home and a minimum of once a quarter in our Poland office. Flexibility may be required in line with business need. 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.
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