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

Scorpion Therapeutics; New Jersey; On-site; USD 150,000 - 210,000; Full time

Job summary

Johnson & Johnson’s Innovative Medicine division seeks a Principal Scientist for R&D Data, DDSAI focused on Immunology. The role involves shaping data science strategy, partnering with Immunology R&D teams, and translating AI capabilities into practical research solutions to enhance outcomes.

The candidate will drive data-driven development, evaluate emerging AI technologies, and improve workflows through automation while collaborating with Translational Science, Medical Affairs, and Clinical

Qualifications

• Must have ability to translate scientific needs into data-driven solutions.
• Experience translating AI technologies into practical solutions for research settings.
• Experience working with healthcare datasets (clinical, imaging, real-world, biomarkers).

Responsibilities

• Define and execute data science initiatives aligned with Immunology TA priorities.
• Design scalable data and AI solutions to support DDSAI strategy.
• Collaborate with cross-functional teams to improve research workflows and automate processes.

Skills

Data science

AI

Python

R

SQL

Healthcare data

Education

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

PhD preferred

Tools

Generative AI tools

Job description

Role: Principal Scientist, R&D Data, Data Science & AI (DDSAI) focused on Immunology within Johnson & Johnson's Innovative Medicine division. Key objectives: contribute to DDSAI strategy development, partner with Immunology R&D teams, and translate emerging AI and digital health capabilities into practical solutions to enhance research and development outcomes. Responsibilities include defining and executing data science initiatives aligned with TA priorities, designing scalable data and AI solutions, evaluating emerging technologies like generative AI, and improving research workflows through automation and process enhancements. Collaborates with cross-functional teams such as Translational Science, Data Platforms, Medical Affairs, and Clinical Operations.

Qualifications: Master's degree in engineering, mathematics, or related scientific discipline with at least 4 years of relevant experience (PhD preferred), including experience in pharmaceutical R&D, healthcare, or data science. Must have skills in translating scientific needs into data-driven solutions, assessing advanced AI technologies, and working with healthcare datasets (clinical, imaging, real-world, biomarkers). Demonstrated ability to operate in matrixed environments, strong problem-solving, and stakeholder engagement skills required.

Preferred: Advanced degree, experience in Immunology or related therapeutic areas, proficiency with analytical tools (Python, R, SQL), and familiarity with machine learning, workflow automation, and digital health solutions. Location: onsite in Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or La Jolla CA, with travel as needed.