Data Engineer – Gene Therapy Data Analytics (m/f/d) in Philadelphia / USA

OC Recruitment GmbH & Co. KG
Ansprechpartner: Melanie Helm
Philadelphia,  USA
40% RemoteFreiberuflichab sofortDauer 14 Monate100% Auslastung
Medizin und PharmaKünstliche IntelligenzBig DataRepository für Klinische DatenData ArchitectureData IntegrationData TransformationData Transformation ServicesDaten-VirtualisierungDatenbankentwicklungDevOpsR (Programmiersprache)PythonDataOpsSQLDatenbank-EnginesAutomatisierte DatenverarbeitungDatenverarbeitungSnowflakeDatenprogrammierungDaten SynthetisierenDaten-PipelineData Generation

Beschreibung

Job Description:

Our client is looking for a Data Engineer in Gene Therapy Data Analytics in Philadelphia to work in a cross-skilled team and design and build scalable data pipelines and robust infrastructure. You will automate manual processes, optimize data delivery, and ensure that data is well-structured and easily accessible across the organization following FAIR principles. By leveraging modern big data technologies and AI tools, you will help maximize the value of complex data to support innovative clinical research and business processes.


Tasks:
  • Understand, design, and build data pipelines as part of a cross-skilled team to maximize data value
  • Identify, design, and implement internal process improvements through automation, optimized data delivery, and infrastructure redesign
  • Build extraction, transformation, and visualization infrastructure using SQL, Snowflake, Tetralake, and AWS big data technologies
  • Enhance internal data analytics tools, deploy them cross-functionally, and support the transition of workflows into scalable frameworks
  • Develop, refactor, and maintain data pipelines supporting user-facing applications and business dashboards
  • Ensure data is structured, described with metadata, and made readily available organization-wide as a product (FAIR)
  • Help define standards and good practices regarding Data Architecture

Qualifications:
  • Accomplished Data Engineer and Software Developer, ideally with expertise in the pharmaceutical industry and technical process development
  • Expertise in Python for building and testing robust, full-stack ETL pipelines
  • Adept at extending data models and optimizing data loading workflows
  • Collaborative and results-oriented with a willingness to work across the full technology stack
  • Demonstrated experience with DevOps/DataOps, automation, and optimizing data flows (preferred)
  • Experience in developing user-facing applications using R and/or Python and frameworks like Shiny/Streamlit (preferred)
  • Leverages AI in daily processes with a mindset geared towards increasing productivity

Additional Information:
Project number: B2988
Start: Asap
End: 31.12.2027
Capacity: 40 hours per week (100%)
Remote share: Hybrid | 40% Remote | 60% On-Site in Philadelphia (USA)

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