Student Intern Pharma Molecular Modeling

Student Intern – Pharma Molecular Modeling

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many industries. We offer interns a role with real responsibility, autonomy, and the opportunity to contribute meaningfully within a collaborative, international team.

The Simcenter Culgi team develops advanced computational modeling solutions that support innovation in molecular sciences across industries, including pharmaceuticals, biotechnology, specialty chemicals, and advanced materials. By combining molecular modeling, simulation, and scientific computing, the team enables customers to better understand molecular behaviour, accelerate research, and make more informed development decisions. In this internship you will support computational studies involving molecular simulations, data generation, analysis, and interpretation of simulation results.

During this Strategic Student Program (SSP) internship, you will contribute to ongoing research and development activities within the Pharma Molecular Modeling team. Working alongside experienced scientists and software developers, you will support computational studies involving molecular simulations, data generation, analysis, and interpretation of simulation results. Depending on the project focus and your academic background, you may contribute to molecular modeling workflows, coarse‑grained simulations, computational chemistry studies, or machine–learning–assisted approaches for molecular systems.

You will assist with evaluating simulation methodologies, generating and analysing scientific data, and supporting research activities aimed at improving existing modeling workflows and accelerating scientific discovery.

• Master's students in Computational Chemistry, Pharmaceutical Sciences, Chemical Engineering, Physics, Materials Science, Applied Mathematics, Bioinformatics, or a closely related field.
• Strong background in computational chemistry and molecular simulations.
• Solid understanding of machine‑learning methods; experience with neural‑networks or graph‑based models is preferred.
• Interest in applying artificial intelligence techniques to scientific and engineering challenges.
• Programming experience in Python.
• Familiarity with coarse‑grained modeling, molecular dynamics, quantum chemistry, or molecular modeling for pharmaceutical applications is an advantage.
• Strong analytical mindset, curiosity, and problem‑solving skills.
• Good communication skills and ability to work collaboratively in a multidisciplinary team.
• Proficiency in English.

• Duration: 5 months (may be extended or combined with a bachelor's or master's thesis depending on university requirements and project alignment).
• Monthly internship allowance of €750 gross.

Our internship program may be structured as either employment or contingent‑worker arrangements, depending on local legal requirements. The anticipated internship allowance for this opportunity is €750 gross per month, with the final amount determined based on relevant experience, skills, and applicable market benchmarks. For contingent‑worker arrangements, individuals will be engaged and employed by a third‑party provider, not Siemens, and therefore will not be eligible for Siemens employee benefits.

We are an equal opportunity employer and value diversity at Siemens Software. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability.

Both Dutch and international students enrolled at EU universities are eligible. Both curricular and extracurricular internships are accepted, subject to university regulations. International students must hold a valid visa and/or work permit for the Netherlands;
Siemens does not sponsor or facilitate visa or permit processes.