Principal Developer, Oncology Data & AI Systems (2 available)

Scorpion Therapeutics; Raritan (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

Scorpion Therapeutics is seeking a Principal Developer for Oncology Data & AI Systems to design and build an AI-ready data foundation across oncology R&D pipelines. You will lead end-to-end data products spanning clinical, pre-clinical, RWD, and omics platforms, delivering scalable pipelines and governance.

The role requires 5+ years in data engineering within biotech, strong Python/R/SQL skills, and extensive AWS experience.

Qualifications

• 5+ years in data engineering within healthcare or biotech industries.
• Proficiency in Python, R, SQL, AWS (Redshift, Glue, Lambda).
• Experience with relational, NoSQL, graph databases, and cloud platforms.

Responsibilities

• Lead end-to-end design and management of data products across clinical, pre-clinical, RWD, and omics platforms.
• Develop scalable data pipelines and ensure data quality, governance, and interoperability.
• Collaborate on creating a trusted, reusable AI-ready dataset ecosystem for analytics, ML, and GenAI.
• Translate scientific and operational needs into engineering solutions.

Skills

Python

SQL

R

Data governance

Cross-functional leadership

Education

Bachelor's degree in Computer Science, Engineering, Life Sciences, or related field

Tools

AWS

Redshift

Glue

Lambda

Job description

Principal Developer for Oncology Data & AI Systems, focusing on building and optimizing an AI-ready data foundation for Oncology R&D.

Responsibilities

• lead end-to-end design and management of data products across clinical, pre-clinical, RWD, and omics platforms; develop scalable data pipelines; ensure data quality, governance, and interoperability; collaborate on creating a trusted, reusable AI-ready dataset ecosystem supporting advanced analytics, machine learning, and GenAI applications; translate scientific and operational needs into engineering solutions.

Requirements

• Bachelor's in Computer Science, Engineering, Life Sciences, or related field; 5+ years in data engineering within healthcare or biotech industries; proficiency in Python, R, SQL, AWS (Redshift, Glue, Lambda); experience with relational, NoSQL, graph databases, and cloud platforms; strong problem-solving and stakeholder management skills; ability to manage multiple projects and lead cross-functional teams.

Preferred

• familiarity with healthcare data standards (FHIR, HL7, SNOMED, OMOP), high-dimensional data, MLOps, GenAI deployment, and imaging data.

Location

• Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA; Cambridge, MA (no remote); up to 10% travel.

High-value biopharma focuses include oncology, clinical and pre-clinical R&D, genomics/omics, and real-world evidence, with an emphasis on advancing scientific discovery through innovative data solutions.