BIOVIA Protein Modeling & Simulation Post-Doc

United States, CA, San Diego

Role Description and Responsibilities 

The Protein Modeling and Simulation team within Dassault Systèmes BIOVIA develops and validates scientific modeling, simulation, and design methods for our life sciences customers. As a post-doc 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.

As part of your role, you will develop new methods to tackle protein design and drug discovery challenges such as 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.

Areas of interest for potential projects include but are not limited to the following:

·         Protein modeling and design pipelines using machine learning models such as AlphaFold2, OpenFold, ProteinMPNN, etc.

·         Free energy methods for protein design and small molecule drug discovery applications

·         Binding kinetics and enhanced sampling

This is a paid six month to a year internship with a flexible start date and will be based in the Dassault Systèmes office in San Diego, CA.

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·         Ph.D. in computational chemistry, structural biology, or a related field

·         Working experience with one or more of the following:

o   In silico protein modeling and design

o   Free energy calculations

o   Machine learning algorithms applied to biological problems e.g. graph neural networks, transformers, transfer learning, etc.

·         Previous software development experience

·         Proficient in a programming language such as Python, C++, or Java

·         Experience with machine learning frameworks such as pytorch, keras, or tensorflow is desirable

·         Working experience in BIOVIA Pipeline Pilot is beneficial

·         Ability to work in a collaborative team

·         Attention to detail and scientific curiosity

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.


Diversity statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

Equal opportunity

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
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