Principal Scientist, R&D Data, Data Science & Artificial Intelligence - Immunology

Scorpion Therapeutics; Spring House (PA); On-site; USD 150,000 - 190,000; Full time

Job summary

Johnson & Johnson seeks a Principal Scientist for R&D Data, Data Science & AI (DDSAI) focused on Immunology within Innovative Medicine. You will lead design, evaluation, and execution of AI strategies aligned with Immunology priorities.

Responsibilities include collaborating across teams to implement data-driven solutions, evaluating generative AI, and translating data assets into impactful insights. On-site in the US, with travel for workshops and collaboration.

Qualifications

• Master's degree in engineering, mathematics, or related field; 4+ years of R&D experience.
• PhD preferred for deeper research leadership.
• Experience in pharmaceutical R&D with exposure to clinical/imaging/real-world/biomarker data.

Responsibilities

• Collaborate with cross-functional teams to design and execute data science strategies.
• Evaluate emerging AI technologies and translate data assets into actionable insights.
• Support Immunology R&D priorities with data-driven workflows and automation.

Skills

Python

R

SQL

Cloud platforms

Education

Master's degree in engineering, mathematics, or related scientific field

PhD preferred

Job description

Role

Principal Scientist in R&D Data, Data Science & AI (DDSAI) focused on Immunology within Johnson & Johnson's Innovative Medicine division.

Objectives

Lead the design, evaluation, and execution of data science, digital health, and AI strategies aligned with Immunology R&D priorities.

Responsibilities

Collaborate with cross-functional teams to develop and implement data-driven solutions, optimize workflows, evaluate emerging AI technologies such as generative AI, and translate scientific data assets into impactful insights.

Qualifications

Master's degree in engineering, mathematics, or related scientific field with 4+ years of relevant experience; PhD preferred. Experience in pharmaceutical R&D, biotech, or healthcare with knowledge of clinical, imaging, real-world, and biomarker data; proficiency with analytical tools like Python, R, SQL, and cloud platforms.

High-Value

Focus on Immunology, digital health, AI, workflow automation, and data assets supporting clinical research and development.

Work Setup

On-site at one of multiple U.S. locations (Cambridge, MA; Spring House, PA; San Diego, CA; Titusville or Raritan, NJ), with travel for workshops and collaboration.