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 caregivers, 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 the Clinical Data Engineer, you will serves 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 involved in 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 trials data, operational data, lab data, wearables data, and real-world evidence.
You will act as an expert in Data Engineering and Data Warehousing, with strong proficiency in managing data governance processes to ensure the integrity, security, and accessibility of all data assets. This role is strategically positioned to advance the life sciences mission by leveraging data to drive scientific innovation, enhance patient outcomes, and support the efficient and secure delivery of breakthrough 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:
- Develop and maintain comprehensive data streaming architecture strategies tailored to the needs of Clinical and Operational data management.
- Design scalable data pipeline architectures to handle large volumes of clinical data from various sources.
- Develop and implement data governance strategies to ensure the accuracy, integrity, and security of the data
- Ensure data compatibility and compliance with industry standards such as HL7, FHIR, ICH M11, and others.
- Implement security controls, encryption mechanisms, redaction logic, and access management policies to protect sensitive data from unauthorized access, breaches, and cyber threats.
- Monitor compliance with healthcare regulations such as HIPAA, GDPR, and other data privacy laws, and implement measures to address potential risks and vulnerabilities.
- Monitor system health, data integrity, and performance metrics using monitoring tools and implement proactive measures to address issues and bottlenecks.
- Design and implement dashboards and reports aligned with end-user requirements.
- Participate in data governance initiatives to standardize data practices and ensure compliance with organizational policies.
Essential Knowledge & Experience:
- Substantial years of relevant experience working in in data architecture, engineering roles or related roles within a healthcare industry.
- Data architecture and engineering experience
Preferred Qualification:
- Expertise in data pipeline design, data modelling, and data integration techniques.
- Proficiency in programming languages commonly used in data management and analysis, such as SQL, Python, or R.
- Expertise in working with databases and data warehousing technologies like SQL Server, Oracle, MySQL, Databricks, etc.
- Strong command in Clinical Data Repository and associated components
- In-depth understanding of life sciences business processes, adept at translating business requirements into effective technical solutions.
- Innovative problem-solving abilities for addressing complex data-related challenges.
- Experience with Agile methodology and mindset.
- Relevant certifications in cloud computing and data engineering tools/platforms are advantageous.
Education:
- Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field or equivalent.
Additional information:
- This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office
Astellas’ Global Capability Centres – Overview
Astellas’ Global Capability Centre’s (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are located in India, Poland and Mexico.
The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.
Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company’s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients.
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.
Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help.
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