Data Architect and Engineer for Life Sciences
5 days ago
Astellas Canada – A Cutting-Edge Data Architecture Role
We are a global pharmaceutical company headquartered in Japan, with a team of more than 14,000 managing operations in approximately 70 countries around the world.
Our expertise, science, and technology make us a pharma company. Our open and diverse culture is what makes us uniquely Astellas.
We are looking for candidates who will thrive in our entrepreneurial and empowering environment where talent and leadership flourish.
This role involves designing and implementing customized data architecture solutions tailored to the complexities of life sciences research and development.
The Clinical Data Architect and Engineer serves the purpose of fostering innovation and operational efficiency through the facilitation of data-driven decision-making processes.
This includes supervising the integration and management of various data sources, such as clinical trials data, operational data, genomic data, and real-world evidence.
We establish and uphold robust data architecture frameworks that align harmoniously with business objectives, regulatory mandates, and industry standards.
This role holds 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.
Essential Job Duties- Develop comprehensive data architecture strategies tailored to the unique needs of Clinical and Operational data management.
- Design scalable, efficient, and secure databases, data warehouses, and data lakes to store and manage clinical data effectively.
- Define and implement data models, schemas, and integration frameworks to ensure the integrity and accessibility of clinical data.
- Lead all data engineering tasks and implement data pipelines, ETL processes to ingest, transform, and load clinical data from various sources into the data infrastructure.
- Optimize data workflows and performance through automation, parallel processing, and data partitioning techniques.
- Collaborate with data scientists and analysts to support advanced analytics, machine learning, and predictive modeling initiatives.
- Integrate disparate clinical systems, applications, and data sources to enable interoperability and data exchange across the life sciences ecosystem.
- Develop APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases.
- Ensure compatibility and compliance with industry standards such as HL7, FHIR, and others.
- Implement security controls, encryption mechanisms, 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.
Estimated salary: $120,000 - $180,000 per year based on location and experience.
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