Data Engineering Specialist

5 days ago

Markham, Ontario, Canada Astellas Pharma Inc. Full time

Astellas Pharma Inc. is a global pharmaceutical company that is committed to delivering innovative and effective treatments for patients around the world.

We are currently seeking a Data Engineering Specialist to join our team in Canada, reporting to the Lead, Clinical Data Management, FoundationX.

The successful candidate will be responsible for fostering innovation and operational efficiency through data-driven decision-making processes, expediting drug discovery initiatives, and bolstering regulatory compliance efforts.

This role involves designing and implementing customized data architecture solutions tailored to the complexities of life sciences research and development.

Responsibilities include supervising the integration and management of various data sources, such as clinical trials data, operational data, genomic data, and real-world evidence.

Through close collaboration with research scientists, statisticians, clinicians, regulatory experts, and DigitalX professionals, this role establishes and upholds robust data architecture frameworks that align harmoniously with business objectives, regulatory mandates, and industry standards.

Expertise in Data Engineering, Data Modeling, Business Intelligence (BI) technologies, and adeptly managing governance processes is essential for maintaining the integrity, security, and accessibility of data assets.

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.

Key Responsibilities

  • Develop and maintain 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.
  • Evaluate 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.
  • Ensure adherence to healthcare regulations such as HIPAA, GDPR, and other data privacy laws.
  • Conduct performance tuning and optimization of databases, queries, and data processing pipelines to enhance efficiency, reliability, and scalability.
  • Monitor system health, data integrity, and performance metrics using monitoring tools.
  • Document data architecture designs, technical specifications, and operational procedures.
  • Provide guidance, training, and mentorship to team members on best practices in data management, architecture, and engineering.
  • Work closely with cross-functional teams to understand requirements and priorities for clinical data management and analysis.

Requirements

  • Expertise in database design, data modeling, and data integration techniques.
  • Proficiency in programming languages commonly used in data management and analysis, such as SQL, SAS, Python, or R.
  • Experience working with databases and data warehousing technologies like SQL Server, Oracle, MySQL, AWS Redshift, Azure Synapse, Google BigQuery etc.
  • Strong command in ETL and Data Integration tools like Talend, AWS Glue and DataBricks.
  • Experience with Master Data Management (MDM) tools like Veeva Network, Reltio and IBM Infosphere
  • Experience with BI tools like QlikSense, Tableau and PowerBI.
  • In-depth understanding of life sciences business processes.
  • Innovative problem-solving abilities.
  • Excellent communication and interpersonal skills.
  • Project management capabilities.
  • Demonstrated leadership skills.
  • Demonstrated commitment to staying current with the latest trends, technologies, and best practices in the data and analytics field.

Salary:$120,000 - $150,000 per year

Location:Toronto, Ontario, Canada

About Us:Astellas Pharma Inc. is a global pharmaceutical company that is committed to delivering innovative and effective treatments for patients around the world. We are a growing company with a strong presence in the life sciences industry, and we are looking for talented individuals to join our team.

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