Data Scientist (Translational Science)

Full-Time position
Location: Onsite (Philadelphia); with possible hybrid options
Start date: Open

About the Position:

We are seeking a highly motivated Data Scientist to support the Verismo Translational Team across multiple clinical-stage programs. This role will report to the Biomarker Lead and offers the opportunity to contribute to data-driven decision-making in a collaborative, fast-paced environment.

The ideal candidate is curious, detail-oriented, and eager to work closely with Biomarker and R&D scientists to generate insights that accelerate translational research and impact clinical development.

The Data Scientist will build and automate tools for multi-parameter data exploration, will help standardize datasets and streamline data analysis, and perform basic statistical analyses to enhance the speed, transparency, and scalability of our workflows.

The Data Scientist will also support the development and continuous improvement of biospecimen lifecycle management systems. The role involves designing and maintaining robust, audit-ready frameworks to ensure end-to-end visibility, traceability, and integrity of all biosamples across studies, from collection through analysis.

The Data Scientist will partner cross-functionally with Clinical Operations (ClinOps), Clinical Development, and Quality Assurance (QA), to ensure data integrity and enable efficient study execution and downstream biomarker analysis.

Essential Duties & Responsibilities:

• Partner with ClinOps, Clinical Development, and QA to ensure high-quality clinical and biomedical data to ensure accurate sample-to-data mapping
• Perform exploratory data analysis and create intuitive tools for multi-parameter data visualization in collaboration with PhD scientists to uncover insights and guide decisions
• Build and automate data pipelines and workflows to streamline data intake, QC, results reporting, and sample metadata integration
• Standardize, integrate, and harmonize datasets from multiple sources to support cross-study analyses
• Design and develop scalable biospecimen tracking and logistics tools that provide real-time visibility into clinical sample inventory, lifecycle, chain-of custody, location, and testing status, ensuring audit readiness and compliance with regulatory and internal QA requirements
• Continuously identify opportunities to improve data systems, workflows, and overall operational efficiency

Qualification Requirements:

• Master's degree in Data Science or a related quantitative field
• Strong hands-on data visualization and data analysis techniques (e.g. R, Python, Excel, SQL, GraphPad Prism)
• Experience working with clinical, biomedical or translational datasets is preferred
• Familiarity with Cell or Gene Therapy is a plus
• Industry experience is desirable

Key Competencies:

• Strong analytical mindset with a proactive approach to problem-solving
• Strong attention to detail with a commitment to documentation and compliance best practices
• Experience with bioinformatics, immunology, and oncology preferred
• Ability to work with and integrate diverse datasets and sources
• Collaborative, team-oriented attitude