Job Description

Sr. Scientific Data Visualization Engineer - Contract - Wilmington DE
Turn complex scientific data into stunning visual stories that drive breakthroughs in healthcare! Your creativity could shape the future of medicine.
Proclinical is seeking a Scientific Data Visualization Engineer to develop impactful analytical tools for scientists in the field of Translational Medicine.
Primary Responsibilities:
This role combines front-end development with data stewardship, focusing on creating interactive applications and ensuring high-quality, automated clinical and biomarker data. You will act as a technical bridge between raw data infrastructure and scientific end-users, contributing to meaningful research outcomes.
Skills & Requirements:

• Proficiency in R, particularly Shiny reactive programming and package development, as well as TIBCO Spotfire.
• Strong understanding of ETL concepts, data preparation automation, and SQL scripting.
• Experience connecting R-Spotfire applications to cloud data sources such as Azure Fabric, Databricks, or AWS.
• Familiarity with Shiny frameworks like teal or golem and the ability to build custom solutions.
• Knowledge of data governance, metadata management, and FAIR data principles.
• Preferred: Familiarity with clinical data standards (e.g., SDTM, ADaM) and biomarker data formats (e.g., NGS, flow cytometry, proteomics).
• Preferred: Experience with Python for backend tasks and HTML/CSS/JavaScript for UI customization.
• Preferred: Knowledge of database systems, APIs, and query optimization.

The Sr. Scientific Data Visualization Engineer's responsibilities will be:

• Design and deploy custom R Shiny applications, framework-based tools (e.g., teal), and TIBCO Spotfire dashboards to address complex scientific queries.
• Automate dashboard updates and data pipelines, integrating visualizations into live data workflows.
• Collaborate with Data Engineers to define efficient schemas and views in cloud-based data lakes for optimal performance.
• Work closely with biologists and translational scientists to translate research questions into actionable visual queries.
• Debug and optimize dashboard code to handle large-scale multi-omics datasets while maintaining user experience.
• Define and implement data ingestion patterns for clinical biomarker datasets in partnership with IT and Translational Sciences teams.
• Ensure data quality, metadata standards, and FAIR compliance for internal data assets.
• Support governance processes for data lifecycle management and documentation.
• Provide expertise on data engineering best practices and contribute to workflow automation.

If you are having difficulty in applying or if you have any questions, please contact Anthony Rabinkov at a.rabinkov@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.
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Skills Required