Senior Data Scientist: Applied AI/ML for Therapeutics

Biopharma Asia; Pennsylvania; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) plan

Pension

Paid time off

Parental Leave

Job summary

Johnson & Johnson’s R&D Data, Data Science & AI (DDSAI) organization seeks a Senior Scientist, Data Science to lead hands-on development of applied AI/ML models that support Therapeutics Development & Supply. The role emphasizes strong quantitative depth and collaboration across multiple functions.

The successful candidate will partner with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical analytics with real-world

Qualifications

• Advanced degree in a quantitative field such as Data Science, Statistics, CS, Engineering, Chemistry or Physics.
• 1–3 years of relevant experience in applied data science, machine learning or statistics (including graduate research).
• Proficiency in Python and common data science libraries (scikit-learn, pandas, numpy, PyTorch, TensorFlow).
• Strong analytical and problem-solving skills.
• Good communication and cross-functional collaboration.

Responsibilities

• Build, test, validate, and iterate on AI/ML models for TDS use cases under guidance of senior data scientists.
• Develop clean, well-documented analytical code using Python and cloud-based services.
• Follow software engineering practices: version control, testing, documentation, reproducibility, and code review.
• Collaborate with TDS domain experts to understand data, context, and requirements.
• Support multiple concurrent projects and report progress to team lead.

Skills

Advanced Analytics

Data Science

Business Intelligence

Data Visualization

Collaboration

Data Analysis

Modeling

Education

Advanced degree in quantitative field

Tools

Python

PyTorch

TensorFlow

scikit-learn

Pandas

Job description

Johnson & Johnson’s R&D Data, Data Science & AI (DDSAI) organization seeks a Senior Scientist, Data Science to lead hands-on development of applied AI/ML models that support Therapeutics Development & Supply. The role emphasizes strong quantitative depth and collaboration across multiple functions.

The successful candidate will partner with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical analytics with real-world