How do I apply for the Internship: Process Engineering & Modelling Intern, Italy, 2026 position at GSK and track my application?

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What are the working arrangements and expected duration for the Internship: Process Engineering & Modelling Intern, Italy, 2026 role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Internship: Process Engineering & Modelling Intern, Italy, 2026 at GSK?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does GSK provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Internship: Process Engineering & Modelling Intern, Italy, 2026

GSK

Found 1 month ago

Location

Siena, Italy

Duration (Months)

6 Months

Time

Full-time

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

Physics
Mathematics
Chemical Engineering
Mechanical Engineering
data‑driven or statistical modelling approaches
ODE/PDE numerical solving
CFD tools
Design of Experiments (DoE)
transport phenomena
thermodynamics
Python
MATLAB
modelling
data analysis
laboratory or experimental skills
data generation capability

Soft Skills

Problem-solving mindset
attention to scientific rigor
Ability to work effectively in multidisciplinary teams
Good communication skills
willingness to learn
Proactive attitude
growing autonomy

Job Description

Support the Process Engineering team within Global Drug Product (Technical R&D) Evaluate state‑of‑the‑art modelling approaches for drug product unit operations Develop mechanistic models for mixing, filtration, pumping, lyophilization, and freeze‑thaw processes Generate and analyze experimental data to support model calibration and validation Contribute to scale‑up and scale‑down strategy development Apply the Model by First Intent (MbFI) approach to reduce experimental burden Support experimental design and execution for process characterization

Requirements

Master’s degree (ongoing or completed) in Physics, Mathematics, Chemical Engineering, Mechanical Engineering, or related Engineering discipline
Knowledge of data‑driven or statistical modelling approaches
Experience with ODE/PDE numerical solving or CFD tools
Familiarity with Design of Experiments (DoE)
Strong interest in pharmaceutical process engineering and modelling
Solid understanding of transport phenomena and thermodynamics
Programming skills in Python and/or MATLAB for modelling and data analysis
Basic laboratory or experimental skills and data generation capability
Problem-solving mindset with attention to scientific rigor
Ability to work effectively in multidisciplinary teams
Good communication skills and willingness to learn
Proactive attitude with growing autonomy over time

Process Engineering

Process Engineering

Languages

Italian
English

Nice to Haves

Knowledge of data‑driven or statistical modelling approaches
Experience with ODE/PDE numerical solving or CFD tools
Familiarity with Design of Experiments (DoE)

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