Data Engineer - Python

Company: Advanced Software Talent
Location: South San Francisco, California, United States
Type: Full-time
Posted: 20.FEB.2021
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Summary

Local San Francisco Bay Area candidates only! Remote work for the until at least July due to Covid! Direct W2 employees only! No 3rd party...

Description

Local San Francisco Bay Area candidates only!

Remote work for the until at least July due to Covid!

Direct W2 employees only! No 3rd party agencies!

Image Data Engineer

  • Responsible for every step of data flow, leading activities to retrieve clinical image data from internal and external sources
  • Work with scientists, contractors, and IT staff to curate, organize, and document clinical images from client's trials
  • Support data integration efforts across diverse data sources, including integrating image data with annotations and tabular clinical data, and integrating to visualization and analytical tools
  • Lead operational data integration efforts with external and internal partners, standardizing interfaces and providing feedback on relevant specifications
  • Develop and maintain robust and fit-for-purpose solutions for data management, governance, provisioning, QC, and visualization using databases, file systems, and cloud platforms
  • Continually search for opportunities to automate workflows and streamline processes
  • Support development of image processing and machine learning/deep learning (ML/DL) algorithms and pipelines
  • Direct communication with outside vendors and in-house staff to reconcile data transfer problems
  • Reporting on imaging assets to business stakeholders

Skills required:

  • Proven experience with data warehousing, data ingestion, and data profiling. Proficiency with relational database queries (SQL), pivoting data, and working with clinical data standards (e.g. SDTM format)
  • Very good practical IT skills and mastering of standard technologies (REST APIs, Linux operating systems)
  • Proficient in scripting languages such as Python, Matlab, shell scripting
  • Experience with medical image formats (e.g., DICOM, nifti) is required. Proficiency with proprietary formats a plus
  • Comfortable working with other teams, scientific computing and data architects, to offer robust and fit-for-purpose solutions
  • Experience with medical/clinical image data analysis techniques
  • Experience with ML/DL a strong plus
  • Experience with clinical imaging in multiple therapeutic areas such as Oncology, Ophthalmology and Neurology a plus
  • Understanding of clinical trials preferred
  • Excellent communication and presentation skills for presenting results and ensuring alignment with stakeholders and business partners.
  • Strong team player, flexible and with a high degree of self-organization, proactive and able to work in matrix environment

Education:

Bachelor's degree in Computer Science, Biomedical Engineering, or a similar discipline; Master of Science preferred

- provided by Dice

 
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