Senior Scientist, Modeler

Johnson & Johnson Innovative Medicine

Spring House (PA)

On-site

USD 120,000 - 180,000

Full time

8 days ago

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Job summary

Johnson & Johnson Innovative Medicine in Malvern or Spring House, PA is seeking a Senior Scientist, Modeler to lead applied modeling for Cell and Gene Therapy development. You will build fit-for-purpose models, from time-series to mechanistic and machine learning, and translate experimental data into actionable insights for scientists and engineers.

You will collaborate across global teams, define data requirements, and deliver interpretable outputs that support development strategies while

Qualifications

BS in science/engineering with 4+ years of relevant experience or MS with 2+ years or PhD with 0–1 year experience.
Experience applying time-series, mechanistic, statistical, hybrid, or ML models to complex data.
Proficiency in programming or modeling environments (Python, R, MATLAB, etc.).

Responsibilities

Build and deploy fit-for-purpose models for Cell and Gene Therapy development.
Develop mechanistic, statistical, hybrid, and ML models translating data into insights.
Create user-accessible modeling tools, dashboards, or decision-support solutions.
Collaborate with scientists, engineers, data partners, and IT to define data needs and inputs.
Contribute to end-to-end Digital Twin development with reusable modeling components.
Support model verification, validation, documentation, and governance.
Lead departmental strategy for model implementation and integration into workflows.
Foster a data-driven culture and coach teams on model interpretation.

Skills

Time series modeling

Mechanistic modeling

Hybrid modeling

Machine learning

Programming (Python, R, MATLAB)

Education

BS in science/engineering (4+ years)

MS or equivalent (2+ years)

PhD or equivalent (0–1 year)

Tools

Azure

AWS

Git

JIRA

Confluence

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Discovery & Pre-Clinical/Clinical Development

Job Sub Function

Biotherapeutics R&D

Job Category

Scientific/Technology

All Job Posting Locations

Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America

Job Description

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for Senior Scientist, Modeler, to join our team in Malvern or Spring House, PA.

Purpose: In this role, you will serve as an individual contributor with expertise in applied modeling for Cell and Gene Therapy process and product development. The role will build fit-for-purpose models to support a broad range of data consumption use cases, including time series modeling, process characterization, optimization, scale translation, data interpretation, and decision-making across development teams. In addition, this role will require innate familiarity with the foundational requirement needed to support end-to-end Digital Twins by scalable modeling components that connect process/analytical knowledge, experimental data, mechanistic and statistical models, and user-facing tools. The successful candidate will collaborate closely with scientists, engineers, data and automation partners, Digital Twin leads, and project teams to identify high-value modeling use cases, translate scientific questions into model-based workflows, and deliver interpretable outputs that support Cell and Gene Therapy development strategies.

You Will Be Responsible For

Build and deploy fit-for-purpose models that support routine Cell and Gene Therapy development activities, including time series modeling, process characterization, optimization, scale-up/scale-down translation, comparability assessments, and data-driven troubleshooting.
Develop mechanistic, statistical, hybrid, and/or machine learning models that translate complex development data into actionable insights for scientists, engineers, and project teams.
Create user-accessible modeling solutions, dashboards, workflows, or decision-support tools that enable project teams to apply model outputs in day-to-day development decisions.
Partner with scientists, engineers, data scientists, automation experts, IT architects, and Digital Twin leads to define data requirements, model inputs, and reusable data structures needed to support modeling workflows and broader data science initiatives.
Contribute modeling components that support development of end-to-end Cell and Gene Therapy Digital Twins, including unit operation models, model-ready data structures, simulation workflows, and integration-ready outputs.
Support model verification, validation, documentation, lifecycle management, and appropriate governance to ensure models are reliable, interpretable, and fit for their intended use.
Define and lead departmental strategy for model implementation, including embedding modeling tools into scientific workflows and managing the associated change management activities.
Advance a modeling culture within Cell and Gene Therapy development by identifying high-impact use cases, coaching scientific teams on model interpretation, and promoting data-driven decision-making.

Qualifications/Requirements

Education: A minimum of a BS degree in a core science or engineering field, including biology, chemistry, chemical/biochemical engineering, biomedical engineering, physics, bioinformatics, data science, applied mathematics, or a related discipline, with at least 4 years of relevant experience; OR an MS or equivalent with at least 2 years of relevant experience; OR a PhD or equivalent with 0-1 year of relevant experience is required.

Skills/Experience

Experience developing and applying time series, mechanistic, statistical, hybrid, machine learning, or multivariate models to complex scientific or engineering data is required.
Ability to translate scientific questions into modeling strategies, define appropriate assumptions, communicate model limitations, and interpret model outputs for non-modeling audiences is required.
Advanced skills with one or more programming languages or modeling environments are required. Examples may include Python, R, MATLAB, Julia, C++, Java, .NET, or equivalent tools.
Proficiency with statistics, algorithm design, data analysis, model quality attributes, and model verification/validation concepts is required.
Strong collaboration and communication skills, including the ability to work across global, cross-functional scientific, engineering, data, automation, and IT teams, are required.
Experience with pharmaceutical development, biologics development, Cell and Gene Therapy process development, or GxP-adjacent development environments is preferred.
Experience contributing to reusable modeling frameworks, simulation workflows, digital twin initiatives, decision-support applications, or user-facing modeling tools is preferred.
Experience with process analytical technologies, in-line/at-line/off-line data streams, chemometrics, Raman spectroscopy, bioreactor data, chromatography data, or other process development data sources is preferred.
Experience with cloud, software development, or collaboration tools is preferred. Examples may include Azure, AWS, Git, JIRA, Confluence, agile/scrum practices, application development, or full-stack development.
Domestic and international travel up to 10%

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

If you are under 18 years of age you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.

Required Skills

Preferred Skills