Senior Scientist, Modeler

Johnson & Johnson

Senior Scientist modeling Cell and Gene Therapy processes and products for Johnson & Johnson. Building validated models, digital twins, dashboards, and decision-support tools for development teams.

Posted 8/12/2026full-timeMalvern • Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying advanced modeling solutions for Cell and Gene Therapy, utilizing programming languages such as Python and R, while effectively collaborating with cross-functional teams to drive model implementation and change management.

Highest-signal resume keywords

Model DevelopmentStatistical AnalysisMachine LearningPython ProgrammingCollaboration Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ModelingStatistical ModelsMachine Learning ModelsTime Series AnalysisAlgorithm DesignData AnalysisModel VerificationModel ValidationHybrid ModelsMultivariate Models

Soft Skills

CollaborationCoachingCommunication

Tools & Technologies

PythonRMATLABJuliaC++Java.NETAzureAWSGit

Industry Keywords

Cell and Gene TherapyPharmaceutical DevelopmentBiologicsGxPDigital TwinProcess Analytical TechnologiesChemometricsRaman SpectroscopyBioreactor DataChromatography Data

Tech Stack

Tools & technologies

AWSAzureCloudJava.NETPython

About the role

Key responsibilities & impact

Build and deploy fit-for-purpose models for Cell and Gene Therapy development activities
Develop mechanistic, statistical, hybrid, machine learning, and multivariate models
Create user-accessible modeling solutions, dashboards, workflows, and decision-support tools
Partner with scientists, engineers, data scientists, automation experts, IT architects, and Digital Twin leads
Contribute modeling components to end-to-end Cell and Gene Therapy Digital Twins
Support model verification, validation, documentation, lifecycle management, and governance
Define and lead departmental strategy for model implementation and change management
Advance modeling culture by identifying high-impact use cases and coaching scientific teams

Requirements

What you’ll need

BS degree in a core science or engineering field with at least 4 years of relevant experience, or MS/equivalent with at least 2 years, or PhD/equivalent with 0–1 year
Experience developing and applying time series, mechanistic, statistical, hybrid, machine learning, or multivariate models to complex scientific or engineering data
Ability to translate scientific questions into modeling strategies and interpret outputs for non-modeling audiences
Advanced skills with programming languages or modeling environments such as Python, R, MATLAB, Julia, C++, Java, or .NET
Proficiency with statistics, algorithm design, data analysis, model quality attributes, and model verification/validation
Ability to collaborate across global, cross-functional scientific, engineering, data, automation, and IT teams
Experience with pharmaceutical, biologics, Cell and Gene Therapy, or GxP-adjacent development environments preferred
Experience with reusable modeling frameworks, simulation workflows, digital twin initiatives, decision-support applications, or user-facing modeling tools preferred
Experience with process analytical technologies, chemometrics, Raman spectroscopy, bioreactor data, chromatography data, or other process development data sources preferred
Experience with cloud, software development, or collaboration tools such as Azure, AWS, Git, JIRA, Confluence, agile/scrum, application development, or full-stack development preferred
Ability to travel domestically and internationally up to 10%

Benefits

Comp & perks

Inclusive work environment
Interview process accommodations for applicants with disabilities
Equal opportunity employment