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

Project overview

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.

Responsibilities

• 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

Requirements

Additional Information:

Project number: B2988

• 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

Project details

Asap

End: 31.12.2027

Capacity: 40 hours per week (100%)

Remote share: Hybrid | 40% Remote | 60% On-Site in Philadelphia (USA)

• Start: asap
• Duration: 14 months
• Remote: hybrid
• Location: Philadelphia, USA, US