Principal Data Scientist, AI‑Ready Data Engineering

Johnson & Johnson; Spring House (PA); On-site; USD 117,000 - 201,000; Full time

Benefits offered by this job

Vacation time 120 hours/year

Sick time 40 hours/year (Colorado 48;

Holiday pay 13 days/year

Parental Leave 480 hours

Bereavement Leave 240 hours

Caregiver Leave 80 hours

Job summary

Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist, Data Science – R&D DDSAI - Therapeutics Development & Supply (TDS). The primary location for this position is open to Spring House, PA; Malvern, PA; Madrid, Spain.

You will design, build, and optimize data capture, processing, and storage to enable AI/ML applications across the development-to-supply continuum, working with Process Development, Manufacturing, Supply Chain, Quality, and Digital/Data Science teams.

Qualifications

• 3+ years of data engineering experience in a scientific/manufacturing/healthcare setting.
• Proficiency with Python, R, SQL and cloud-based architectures (AWS, Snowflake, Redshift).
• Experience with NoSQL and graph databases; strong analytical, problem-solving and stakeholder-management skills.

Responsibilities

• Design, build, and maintain scalable data pipelines for TDS data across diverse sources.
• Create data flows for structured/unstructured data using Python, R, SQL, DBT and cloud services.
• Develop TDS data repositories with enterprise data models and versioning for AI/ML readiness.

Skills

Python

R

SQL

Cloud AWS

Snowflake

Redshift

DBT

NoSQL

Graph databases

Data modeling

Stakeholder management

Education

Advanced degree in Engineering, Data Science, Life Sciences, Computer Science

Tools

DBT

AWS

Job description

Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist, Data Science – R&D DDSAI - Therapeutics Development & Supply (TDS). The primary location for this position is open to Spring House, PA; Malvern, PA; Madrid, Spain.

You will design, build, and optimize data capture, processing, and storage to enable AI/ML applications across the development-to-supply continuum, working with Process Development, Manufacturing, Supply Chain, Quality, and Digital/Data Science teams.