Data Engineer

4 weeks ago

San Francisco, United States Quantum Leap Healthcare Full time
Job DescriptionJob Description

Job Description

Position: Data Engineer

Department: Data Informatics

Reports to: Chief Data Officer

SUMMARY AND DETAILS OF POSITION

Quantum Leap Healthcare Collaborative’s (QLHC) Bioinformatics team provides strategic planning, integrating, execution, build and oversight of clinical trial deliverables. The Bioinformatics group integrates structured and unstructured data across the data sources, setup, data transfer/review and support downstream transformation and analysis. The Data Engineer leads the data architecture for clinical and biomarker data pre-processing and transformations for loading into analytical platforms accessed by statisticians, analysts, and external users.

The data engineer contributes to the successful conduct of QLHC’s clinical trials and to the delivery of high quality promptly, which is eventually used for statistical analysis and submitted to regulatory authorities for the approval of QLHC’s products.

Principal Responsibilities[MR1] [AA2]

  • Programs, configures and maintains the data pipelines that conform to the common data model and ensures data ingestion for all study-level data capture technologies and other related vendor and/or applications (e.g., LIMS, EDC, IRT, ePRO, eCOA).
  • Collaborate cross functionally, facilitates test data transfer, and confirms accurate DTA specification.
  • Performs tasks to configure and maintain data flow integration between collected data and the clinical data repository (CDR).
  • Configure data extraction and transformations in an individual contributor role across multiple data sources at the study level
  • Partner closely with internal/external stakeholders and data engineers.
  • Ensure accurate delivery of data format and data frequency with quality deliverables per specification.
  • Participate in the development, documentation, testing, maintenance and training rendered by standards and other functions on transfer specs and best practices used by business[MR3] [AA4] .

Preferred Education and Experience

  • Bachelor's degree plus 2+ years' experience, in computer science, statistics, biostatistics, mathematics, biology or other health related field or equivalent experience that provides the skills necessary to perform the job.
  • You will bring experience with EDC build, Data Management, and EDC extraction configuration.
  • You will bring knowledge of data flow between clinical data management systems, vendor devices and CDR.
  • You will need knowledge of XMLS, ALS, APIs and MDR preferred; and experience with one of these languages: SQL, SAS, R, Python.
  • Strong working knowledge of clinical trial terminology and data transfer specification expected.
  • Proven ability to work independently and collaboratively.
  • Experience with EDC build or data extraction configuration ETL/ELT experience.
  • Understanding of AWS/Data bricks concepts.

Other Preferred Skills

  • Preferred to have SAS or R or Python certification.
  • Demonstrated ability to lead projects and work groups. Project management skills.
  • Travel requirements - 1-2 domestic trips annually
  • Experience developing R shiny and Python apps.
  • Experience with Hadoop
  • Experience with Agile development methods

Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.


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