Data Engineer

Oracle Clinical Data Engineer

REMOTE

Skills: Oracle, Clinical, PostgreSQL, ETL, SQL, Snowflake, Life Sciences, PMP, TOGAF, SAFe, E-Protocol, API Design, Data Orchestration

Responsibilities:

• Design, develop, and maintain robust data architectures to support clinical data integration, products, and analyses.
• Collaborate with clinical, product and IT teams to understand data requirements and translate them into effective data models and solutions.
• Create, manage, and monitor data quality metrics as part of the Clinical Data Quality Program.
• Use statistics and tools to evaluate data, present to leadership and stakeholders, and identify problems proactively.
• Ensure the quality and integrity of clinical data, with a particular emphasis on ophthalmology / retina data.
• Work to ensure proper data quality is maintained across all clinical data systems and that supporting products get the high quality data they need, when they need it.
• Develop and maintain documentation for data architecture, data flows, and data models.
• Ensure data products are produced on time with high quality, accuracy and integrity
• Collaborate with the larger team to design, evolve and implement data architecture(s), infrastructure, data collection efforts and improvements to existing scale, processes and approaches.
• Establish monitoring solutions to prevent outages, to promote timely and accurate data collection, ingestion, processing and analysis.

Skills and Experience:

• 15+ years of experience in Enterprise & Solution Architecture within complex, regulated industries (life sciences preferred).
• Deep understanding of compliance and data integrity in life sciences or healthcare.
• Knowledge of additional database systems such as SQL Server, Oracle, and/or Snowflake preferred.
• Expertise in bidirectional data transactions via APIs using Python, AWS lambda, ECS, etc.
• Work experience with data visualization and prototyping tools (e.g., Seaborn, libraries in python, Tableau, etc.).
• Knowledge of statistics: fundamental concepts to summarize, analyze, and visualize data, tests of statistical significance, regression, etc.
• Experience with additional cloud platforms a plus (e.g. Azure, Google Cloud Platform, etc.)
• Must haves

• Prior experience in Clinical Development Systems or E-Protocol platforms.
• Exposure to regulatory submission systems (e.g., eCTD, IDMP, RIM).
• Knowledge of cloud-native services and microservices architectures in Azure or AWS.
• TOGAF, SAFe, or similar architecture/enterprise certifications