Data Scientist, Application Developer
Job in
Titusville, Mercer County, New Jersey, 08560, USA
Listed on 2026-07-26
Listing for:
J&J Family of Companies
Full Time
position Listed on 2026-07-26
Job specializations:
-
IT/Tech
Data Scientist, AI Engineer (Applied/Software), Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, 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
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:*
* R&D Product Development
** Job Sub*
* ** Function:*
* R&D Digital
** Job Category:*
* Scientific/Technology
** All Job Posting Locations:*
* Titusville, New Jersey, United States of America
*
* Job Description:
*
* ** We are searching for the best talent for Data Scientist, Application Developer*
* ** 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 Johnson & Johnson Innovative Medicine ()
*
* Purpose:
*
* We are seeking a Data Scientist and Application Developer to join a cross-functional team of engineers and scientists delivering data-driven solutions tied to manufacturing. In this role you will alternate between building business applications that enable fast, iterative analytics and operationalizing models that directly inform product quality decisions in a GMP context.
** You will be responsible for:*
* ** Application Development (GMP + non-GMP)*
* + Build and maintain internal web applications that make analytics usable in day-to-day workflows.
+ Develop services using Python with Flask (and/or FastAPI where appropriate), including:
Lightweight APIs for data access and model execution User-facing interfaces using Flask + Jinja, with small amounts of JavaScript and optionally React for richer interactions.
+ Implement pragmatic software engineering practices (modular design, testing, logging/monitoring hooks, clear documentation) aligned to intended use (GMP vs non-GMP).
** Data Science & Modeling (Manufacturing Context)*
* + Apply strong fundamentals in statistics, data extraction + cleaning, and modeling to diverse manufacturing datasets (e.g., batch/process time series, quality data, laboratory and instrument outputs).
+ Develop, evaluate, and document models intended to support insights into manufacturing performance in a GMP environment, focusing on interpretability and lifecycle considerations.
+ Collaborate with engineers, scientists, and quality partners to define the problem, select fit-for-purpose methods, and translate outcomes into operational decisions.
+ Communicate findings clearly to technical and non-technical stakeholders; create reusable analysis patterns and templates.
** Delivery Practices & Collaboration*
* + Use git fluently in a team setting (branches, pull requests, code reviews).
+ Contribute to maintainable, supportable solutions on an internal hosting platform; collaborate with platform/IT partners as needed.
+ Follow good documentation and change practices appropriate to regulated and non-regulated use, ensuring solutions are understandable and auditable when required.
*
* Qualifications / Requirements:
*
* ** Required Qualifications*
* + Bachelor's degree (or higher) in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent practical experience).
+ Strong data science fundamentals:
Basic statistics and experimental reasoning Data wrangling and exploratory analysis Model building and evaluation.
+ Strong Python skills for both analysis and application development.
+ Familiarity with basic SQL…
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