INTERNSHIP - BIOVIA Protein Modeling & Simulation
Job Description
Role Description and Responsibilities
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 features and research applications. You will work with a senior developer on the team.
As part of your role, you will contribute to methods to tackle protein design and drug discovery challenges such as protein structure new prediction, robust de novo protein design, or blind molecular docking.
This work will expose you to the widely adopted scientific development platform, Pipeline Pilot, and innovative research topics in biologics and drug design.
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.
The Challenges ahead
Areas of interest for potential projects include but are not limited to the following:
* Protein modeling and design pipelines using ML models like OpenFold, LigandMPNN, etc.
* 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.)
This is a paid three month internship with a flexible start date and will be based in the Dassault Systemes office in San Diego, CA.
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Qualifications
* 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
* Structure-based drug design applications: binding pocket prediction, molecular docking (energy scoring, ML models, etc.)
The total expected compensation range for this role will be between $22 and $40. In determining the pay range, we take into consideration experience, pay of employees in similar positions, and other job-related factors.
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