Intern, Pharm Process Modeling

Johnson & Johnson is hiring an Intern, Pharm Process Modeling in Shanghai, China. Level rates it ; you can apply on Level.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include Python, Statistical Analysis and process modeling.
Level files it as an internship.
Level lists 2,000+ other open roles at Johnson & Johnson.

AI in this role

Intern role focused on developing and upgrading pharmaceutical process models using statistical analysis and data engineering.

pythonstatistical-analysis

process-modelingdata-engineeringmachine-learning

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 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:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Shanghai, China

Job Description:

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 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 https://www.jnj.com/. 

You will be joining a multi-disciplinary team dedicated to the development and digitalization of process models used in the manufacturing operations of a diverse range of pharmaceutical products. As an intern, you will contribute to research leveraging techniques such as process modeling, statistical analysis, and data engineering, to advance our digital capability and ensure product quality.

Key Responsibilities:

You will contribute to our ongoing activities focused on modeling film coating operation for synthetics drug products. The project is designed to deepen our mechanistic understanding of the operation, accelerate technical transfer, and provide a better control of the production. You will be responsible for one or more of the following areas: upgrading existing models, applying models to the real-world data, evaluating model performance and building user-friendly apps for the models.

Typical day-to-day activities for this position can include:

Conduct literature review
Translate physical and chemical understanding into mathematical formulations
Develop model upgrades and embed them into existing codes
Perform data extraction and curation from multi-sourced datahubs or documents
Convert models to apps and deploy them on designated platforms
Documentation of all the activities
Interacting with business partners and cross-functional researchers in English.

Qualifications:

Required:

Enrolled in a bachelor, master or doctorate degree program with a strong Chemical Engineering, Biological & Biomedical Engineering, Materials Science, Mechanic Engineering, Chemistry, Physics, or equivalent background
Legally authorized to work in China and not require sponsorship for employment visa status now or in the future
Proficiency in Python (incl. pandas, pydantic, scipy, etc), or other programming languages
Mastering algebraic knowledge and knowledge of ordinary differential equations (ODEs)
Self-motivated, productive, and possessing excellent scientific problem-solving skills
Ability to work both independently and collaboratively within a multicultural team environment, with excellent verbal and written communication skills in English and Chinese

Preferred:

Experience with modeling a physicochemical phenomenon through knowledge- or data-driven methods
Familiarity with pharmaceutical processes, especially film coating.
Experience with app development.

Required Skills:

Preferred Skills:

How we rate this

Intern, Pharm Process Modeling at Johnson & Johnson rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Intern, Pharm Process Modeling is an open job at Johnson & Johnson.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Shanghai, China.
The job was posted on September 29, 2026.
Seniority: intern.
Applications are handled by Johnson & Johnson. Apply on Johnson & Johnson

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Process ModelingData EngineeringMachine learningPythonStatistical Analysis

Questions you could be asked

Tell me about a project where process modeling was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
What's a project where you used Python hands-on?
Walk me through how you've used Statistical Analysis in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Process Modeling, Data Engineering, Machine learning, Python, and Statistical Analysis. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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