Principal Clinical Datawarehouse Programmer

BeiGene

2d•$125,000 - $165,000•Remote

About The Position

The Principal Clinical Datawarehouse Programmer will be responsible for the development and support of ETL (Extract, Transform, Load) data pipelines. Work with business/project owners to understand user requirements and translate them into ETL data pipeline design specifications following SDLC process. Design, develop, test, and deploy ETL data pipelines while maintaining best practices and engineering standards. Develop high-quality, well-tested, secure, and maintainable code. This position will ensure high quality clinical data for business decision making and risk management for clinical studies. This person will interact with stakeholders including SDS, Clinical Operations, Safety, IT, Medical affairs, and other relevant cross functional departments.

Requirements

5+ years’ experience with ETL data pipelines.
5+ years’ experience with SQL and relational databases.
2+ years’ experience with SDLC.
3+ years’ experience with clinical trial data in the pharmaceutical/biotechnology
2+ years’ experience with APIs
Minimum of Bachelor’s degree in computer science, software engineering, or related scientific discipline

Nice To Haves

Experience with CDISC SDTM, SDTMIG, and other working CDASH standards a plus
3+ Years’ Experience with Oracle Life Science Data Hub (LSH)
3+ Years’ Experience with Oracle Data Management Workbench (DMW)
3+ Years’ Experience with Oracle Clinical Data Analytics (CDA)
3+ Years’ Experience with Oracle Clinical Data Analytics (ODI)
Experience with Oracle Business Intelligence Enterprise Edition (OBIEE)
Experience with BI platform (Spotfire, PowerBI, and etc.) a plus
EDC experience is highly desirable.

Responsibilities

Work with business/project owners understanding business requirements.
In-depth understanding of clinical trials and their associated deliverables
Design ETL data pipelines specifications following SDLC process.
Design, develop, test, and deploy ETL data pipelines.
Design, develop, test, and deploy Validation Checks
Design, develop, test, and deploy Data Models.
Maintain ETL data pipelines and enforce data governance, security, and protection of our data.
Troubleshooting ETL data pipelines and debugging faulty code.
Monitoring and improving ETL data pipelines performance.
Testing data outputs to ensure that they are fit for use.
Assemble large, complex data sets that meet business requirements.
Preparing data outputs for manipulation by downstream applications/users.
Design and build the infrastructure if required for optimal ETL data pipelines from a wide variety of data sources using SQL and other technologies (like R or Python).
Support the build analytics tools that utilize the data to provide actionable insights into operational efficiency, and other key business performance metrics.
Work with internal and external stakeholders to assist with data-related technical issues and support data needs.
Ability to work in a dynamic environment.
Perform other duties as directed by Director, Clinical Data Architect