Kaztronix LLC ยท 23 hours ago
Sr. Scientific Data Visualization Engineer
Kaztronix is seeking a Scientific Data Visualization Engineer to build and deliver high-impact analytical tools for Translational Medicine scientists and Biologists. The role combines front-end development with data stewardship, focusing on developing interactive applications and ensuring high-quality data. Responsibilities include designing custom applications, automating dashboard updates, and collaborating with scientists to visualize complex data.
ConsultingInformation TechnologyStaffing Agency
Responsibilities
Design and deploy a mix of custom R Shiny applications, framework-based tools (e.g., teal), and TIBCO Spotfire dashboards to answer complex scientific questions
Apply engineering best practices to automate dashboard updates and data pipelines; ensure visualizations are not static but are integrated into live data workflows
Partner with Data Engineers to define efficient schemas and views in the Data Lake (Azure Fabric) that optimize front-end performance and latency
Collaborate directly with biologists and translational scientists to translate abstract research questions into concrete visual queries (e.g., "Visualize responders vs. non-responders by gene expression")
Debug and refine dashboard code to handle large-scale multi-omics datasets without compromising user experience
Partner with IT and Translational Sciences to define and implement data ingestion patterns for clinical biomarker datasets
Act as a data steward, ensuring data quality, metadata standards, and FAIR compliance for internal translational and clinical data assets
Support governance processes for data lifecycle management and documentation
Provide technical expertise on data engineering best practices and contribute to automation of ingestion workflows
Qualification
Required
Education: Bachelor s or Master s degree in Data Science, Computer Science, Bioinformatics, or related field
Experience: 3-5 years of professional experience in data visualization, data engineering, computational biology, or software engineering
Core Technical Stack: Advanced proficiency in R (specifically Shiny, reactive programming, and package development) and TIBCO Spotfire
Data Engineering Fluency: Strong grasp of ETL concepts and automation; ability to write complex SQL and scripts to automate data preparation
Cloud Familiarity: Experience connecting R/Spotfire applications to cloud data sources (e.g., Azure Fabric, Databricks, AWS)
Framework Flexibility: Experience with Shiny frameworks (such as teal or golem) and the ability to build custom solutions
Stewardship Mindset: Experience with data governance, metadata management, or FAIR data principles
Preferred
Familiarity with clinical data standards including SDTM, ADaM, and biomarker data formats (NGS variant results, flow cytometry, serum proteomics, gene expression profiling)
Familiarity with Python for interoperability with backend engineering tasks
UX/UI Design: Knowledge of HTML/CSS/JavaScript to customize the look and feel of Shiny apps
Experience with database systems, APIs, and query optimization
Company
Kaztronix LLC
Kaztronix is a staffing and recruiting company that provides specialty consulting solutions.
H1B Sponsorship
Kaztronix LLC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase