Oncology Data & AI Systems Lead

Scorpion Therapeutics; Spring House (PA); On-site; USD 140,000 - 230,000; Full time

Job summary

Scorpion Therapeutics seeks a Principal Developer, Oncology Data & AI Systems, to establish an AI-ready data foundation for oncology R&D. You will lead data product design, pipelines, and governance, integrating clinical, pre-clinical, and ‘omics data to enable cutting-edge analytics and model deployment.

You will collaborate across teams to prioritize high-impact AI/ML use cases, leverage Python/R/SQL/AWS, and ensure scalable, compliant data infrastructure.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Life Sciences or related field.
• 5+ years in healthcare data engineering with data modelling, cloud platforms, and multi-technology data storage.
• Proven experience with large-scale datasets, troubleshooting, stakeholder management, and delivering scalable solutions.

Responsibilities

• Lead design, development, and lifecycle management of data products.
• Integrate multi-modal R&D data (clinical, pre-clinical, ‘omics, RWD).
• Partner with stakeholders to identify and prioritize high-impact AI/ML use cases.
• Develop scalable data pipelines using Python, R, SQL, and AWS.
• Implement data quality, governance, and compliance frameworks aligned with FAIR principles.
• Collaborate with cross-functional teams to enable advanced analytics and model deployment.

Skills

Data modelling

Data quality & governance

MLOps

GenAI deployment

Stakeholder management

Education

Bachelor’s in Computer Science, Engineering, Life Sciences or related

Tools

Python

R

SQL

AWS

Job description

Scorpion Therapeutics seeks a Principal Developer, Oncology Data & AI Systems, to establish an AI-ready data foundation for oncology R&D. You will lead data product design, pipelines, and governance, integrating clinical, pre-clinical, and ‘omics data to enable cutting-edge analytics and model deployment.

You will collaborate across teams to prioritize high-impact AI/ML use cases, leverage Python/R/SQL/AWS, and ensure scalable, compliant data infrastructure.