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Lead Data Engineer - Computational Discovery - Contract - Wilmington DE

Ready to engineer the future of data in pharma? Join us as a Lead Data Engineer and turn complex challenges into groundbreaking solutions.

̽»¨ºÏ¼¯ is seeking a Lead Data Engineer to play a pivotal role in designing, implementing, and maintaining scalable data pipelines and structures.

Primary Responsibilities:

This position focuses on integrating complex scientific datasets into modern cloud architectures, supporting translational research initiatives. You will collaborate with cross-functional teams to ensure robust, scalable, and FAIR-compliant solutions.

Skills & Requirements:

• Proficiency in Python, including libraries such as Pandas, PySpark, Dask, and SQLAlchemy.
• Advanced knowledge of SQL and workflow orchestration tools like Airflow, Dagster, or Prefect.
• Experience with modern cloud architectures (e.g., Azure Fabric, Databricks, Snowflake).
• Strong understanding of data modeling, ETL processes, and schema design for complex datasets.
• Expertise in API development for data access.
• Familiarity with FAIR principles and metadata standards for scientific data.
• Excellent communication and collaboration skills to bridge IT and scientific teams.
• Preferred: Knowledge of clinical data standards (e.g., SDTM, ADaM, CDISC) and biomarker data formats (e.g., NGS, flow cytometry, proteomics).

The Lead Data Engineer's responsibilities will be:

• Act as a hands-on technical lead, defining architecture and coding scalable ETL pipelines and data structures.
• Oversee the ingestion of complex datasets (e.g., genomics, proteomics, imaging, lab data) into cloud-based data lakes.
• Lead data engineering projects, designing integration solutions for diverse scientific data sources.
• Develop automated procedures to normalize unformatted external vendor data into a structured Common Data Model (CDM).
• Collaborate with research and IT teams to align infrastructure with scientific needs.
• Architect and implement scalable ETL processes, APIs, and visualization tools for data access.
• Engage stakeholders to gather requirements and incorporate feedback into designs.
• Lead user acceptance testing (UAT) to ensure high-quality deliverables.
• Promote FAIR principles and interoperability across translational and clinical programs.

If you are having difficulty in applying or if you have any questions, please contact Anderson Maldonado at a.maldonado@proclinical.com

If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.

̽»¨ºÏ¼¯ is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. ̽»¨ºÏ¼¯ is acting as an Employment Agency in relation to this vacancy.

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