In Silico Viscosity Modeling Intern (Biophysics/Chemistry)

Boehringer Ingelheim GmbH; Ridgefield (CT); Sur place; USD 33 000 - 45 000; Plein temps

Avantages offerts par ce poste

Medical coverage

Paid time off

Disability & life insurance

Résumé du poste

Boehringer Ingelheim GmbH is seeking an Intern to join the Materials and Analytical Sciences group in Ridgefield, CT. You will build an in-silico framework to predict how formulation composition affects viscosity, accelerating speed-to-clinic for new candidates.

The role combines molecular modeling, machine learning, and data analysis to enable scalable predictions across peptides and biologics, with exposure to industry stakeholders and internal reporting.

Qualifications

• Must be a current undergraduate, graduate, or advanced degree student in good academic standing pursuing a degree in (computational) biophysics/ (computational) chemistry/ soft matter physics/ chemical engineering or a related discipline
• Student must be enrolled at an accredited college or university for the duration of the internship
• Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred
• Major or minor in chemistry, biophysics, soft matter physics or related disciplines
• Undergraduate students must have completed at least 12 credit hours at current college or university
• Graduate and advanced degree students must have completed at least 9 credit hours at current college or university

Responsabilités

• Implement state-of-the-art molecular modeling, molecular dynamics simulation methods and machine learning based approaches with principles from statistical mechanics, biophysics and soft matter to develop an in-silico viscosity prediction platform
• Leverage insights from the scientific literature and experimental datasets to develop a transferable and scalable in silico viscosity prediction platform that can be applied across a broad range of biomolecular modalities including peptides and other biologics
• Evaluate and benchmark multiple computational viscosity prediction strategies to identify robust and scalable methodologies for formulation development.
• Engage with industry stakeholders, present progress and final results in internal meetings, contribute to internal report documentation or publication as appropriate

Connaissances

Python programming

Communication

Collaboration

Formation

Undergraduate/Graduate student in computational biophysics/ computational chemistry/ soft matter physics/ chemical engineering

Outils

Gromacs

LAMMPS

OpenMM

Maestro/Schrodinger

Description du poste

Boehringer Ingelheim GmbH is seeking an Intern to join the Materials and Analytical Sciences group in Ridgefield, CT. You will build an in-silico framework to predict how formulation composition affects viscosity, accelerating speed-to-clinic for new candidates.

The role combines molecular modeling, machine learning, and data analysis to enable scalable predictions across peptides and biologics, with exposure to industry stakeholders and internal reporting.