Senior ML Engineer - Biopharma R&D & AI Innovation

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

Job summary

Johnson & Johnson seeks a Senior Engineer in Machine Learning Research and Development in Spring House, PA. You will lead AI/ML roadmap efforts, build models to guide biologics development, and deliver user-friendly, data-driven solutions for project teams.

Collaboration with IT and scientists is required to enable data-driven decisions and IP generation. Ideal candidates have a PhD in a relevant field, strong ML, data wrangling, cloud (Azure/AWS), and experience with SDLC methodologies and

Qualifications

• Lead strategic modeling programs and deliver ML/AI solutions for biopharma.
• Apply ML modeling to support biopharmaceutical development decisions.
• Wrangle and transform high-dimensional data from data warehouses.
• Proficient with SDLC methods including Agile and Waterfall.
• Experience with JIRA, Git, Confluence and cloud platforms (Azure/AWS).
• Knowledge of LLMs and recent AI literature to guide opportunities.

Responsibilities

• Develop roadmap and capabilities for applied AI/ML in biopharma development.
• Build novel ML models to aid project teams in decision making.
• Deliver user-enabled solutions and collaborate with IT for data flows.
• Advise teams on experiments and data-to-knowledge transformations.

Skills

ML Research

Python

Big Data

LLM

Data wrangling

SDLC agile/Waterfall

JIRA

Git

Confluence

Azure

AWS

MATLAB

Java

C++

R

Education

Ph.D. in Science / Industrial Engineering / Operations Research / Data Science / AI/ML

Tools

Azure

AWS

JIRA

Git

Confluence

MATLAB

Job description

Johnson & Johnson seeks a Senior Engineer in Machine Learning Research and Development in Spring House, PA. You will lead AI/ML roadmap efforts, build models to guide biologics development, and deliver user-friendly, data-driven solutions for project teams.

Collaboration with IT and scientists is required to enable data-driven decisions and IP generation. Ideal candidates have a PhD in a relevant field, strong ML, data wrangling, cloud (Azure/AWS), and experience with SDLC methodologies and