INTERNSHIP: BIOVIA Protein & Biologics Modeling

The Protein Modeling and Simulation team within Dassault Systemes BIOVIA develops and validates scientific modeling, simulation, and design methods for our life sciences customers. As an intern on the team, you will have access to our advanced modeling and machine learning algorithms and state of the art visualization, and use the BIOVIA Discovery Studio suite with Pipeline Pilot for the development of novel applications.

You will contribute to cutting-edge research at the intersection of computational biology, machine learning, and drug discovery, working alongside a team of scientists to develop and validate novel methods for the 3DEXPERIENCE Platform. As part of the development process, you will work with the Quality Assurance team to ensure automated test coverage of new functionality. Additionally, you will participate in discussions with Product Management and customer-facing teams on product direction and new features. Areas of interest for potential projects include but are not limited to the following:

• Protein and biologics modeling and design pipelines using ML models
• Application of machine learning and statistical modeling to MD simulations e.g. Markov processes, end-to-end differentiable models, etc.
• Structure-based drug design applications: binding pocket prediction, molecular docking (energy scoring, ML models, etc.)
• Antibody developability assessment using computational tools for properties such as viscosity, aggregation propensity, and stability

• Actively enrolled in a Master's Degree or PhD program with a focus on computational chemistry, structural biology, computational biology or a related field
• Previous software development experience
• Proficient in a programming language such as Python, C , or Java
• Excellent communication skills in English, both verbally and in writing
• Ability to work in a collaborative team
• Attention to detail and scientific curiosity
• Ability to work onsite for the duration of the internship on a hybrid schedule

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $22 and $40 per hour.