Senior ML Research Engineer - Biopharma R&D (Hybrid)

Johnson Johnson; Spring House (PA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Vacation 120 hours/year

Sick time varies by state

Parental Leave 480 hours

Job summary

Johnson & Johnson in Spring House, PA is hiring a Senior Engineer, Machine Learning Research and Development to define strategic roadmap for applied AI/ML in biopharmaceutical development. You will build models to support decision-making for development teams and enable utilization through user-friendly solutions.

The ideal candidate has a PhD and 2+ years in ML for biopharma, strong programming skills, and experience with cloud platforms.

Qualifications

• PhD required in science/engineering/data science/AI-ML or related field (2+ years experience).
• Advanced therapies in science, development, and production processes.
• Ability to lead strategic modeling programs and deliver solutions.
• Experience applying ML to support biopharma industry.
• Programming in Python, C++, Java, or similar; data wrangling from large warehouses.

Responsibilities

• Develop strategic roadmap and capabilities for applied AI/ML in Biopharmaceutical development.
• Build novel ML models to help development teams make data-driven decisions.
• Deliver solutions with user functionality for model adoption by project teams.
• Collaborate with scientists and IT to enable data flow and modeling.
• Define opportunities to apply modeling to faster, more robust biologics process development.

Skills

Applied ML

Data-driven decisions

Cross-functional collaboration

Education

PhD in Science/Engineering/Data Science/AI-ML

Tools

.NET

Java

Perl

C++

Matlab

R

Julia

Python

Azure

AWS

JIRA

Git

Scrum

Confluence

LLM

Data Warehouses

Job description

Johnson & Johnson in Spring House, PA is hiring a Senior Engineer, Machine Learning Research and Development to define strategic roadmap for applied AI/ML in biopharmaceutical development. You will build models to support decision-making for development teams and enable utilization through user-friendly solutions.

The ideal candidate has a PhD and 2+ years in ML for biopharma, strong programming skills, and experience with cloud platforms.