Translational Data Scientist — Biomarker Analytics

Socket.dev; Philadelphia (Philadelphia County); On-site; USD 90,000 - 140,000; Full time

Job summary

Verismo seeks a data scientist with a biology background to support the Translational Team across clinical-stage programs. You will report to the Biomarker Lead and help drive data-driven decisions in a fast-paced environment.

Responsibilities include building tools for multi-parameter data exploration, standardizing datasets, and performing basic analyses to accelerate translational research and clinical development, partnering with ClinOps, Clinical Development, and QA.

Qualifications

• Master’s degree in Data Science or related field.
• Strong hands-on data visualization and analysis (R, Python, Excel, SQL, GraphPad Prism).
• Biological sciences background required; ability to work with biomedical datasets.
• Minimum of 1 year of industry experience in biotech, pharma, or life sciences.
• Experience with translational or clinical datasets; familiarity with Cell or Gene Therapy is a plus.
• Industry experience is desirable.

Responsibilities

• Partner with ClinOps, Clinical Development, and QA to ensure high-quality clinical and biomedical data for sample-to-data mapping.
• Perform exploratory data analysis and create intuitive multi-parameter visualization tools with PhD scientists.
• Build and automate data pipelines for data intake, QC, results reporting, and sample metadata integration.
• Standardize and harmonize datasets from multiple sources to support cross-study analyses.
• Design scalable biospecimen tracking and logistics tools for real-time inventory visibility and audit readiness.
• Identify opportunities to improve data systems, workflows, and overall operational efficiency.

Skills

R

Python

Excel

SQL

GraphPad Prism

Education

Master’s degree in Data Science or related quantitative field

Tools

R

Python

Excel

SQL

GraphPad Prism

Job description

Verismo seeks a data scientist with a biology background to support the Translational Team across clinical-stage programs. You will report to the Biomarker Lead and help drive data-driven decisions in a fast-paced environment.

Responsibilities include building tools for multi-parameter data exploration, standardizing datasets, and performing basic analyses to accelerate translational research and clinical development, partnering with ClinOps, Clinical Development, and QA.