Hybrid Pre-Sales Scientific Discovery Specialist

Dassault Systemes; San Diego (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

401K match

Tuition reimbursement

Paid holidays

Job summary

Dassault Systemes is seeking a Ph.D.-level Industry Process Expert to join the Pre-Sales team for the BIOVIA portfolio. You will translate complex scientific challenges into compelling demonstrations, presentations, and workflows for prospective and existing customers.

The role emphasizes small-molecule and biologics discovery, molecular modeling, and the integration of AI/ML with traditional computational approaches to support modern drug discovery. Prior customer-facing experience is valued.

Qualifications

• Ph.D. in Computational Chemistry, Biophysics, Structural Biology, or related field.
• Strong knowledge of molecular modeling, simulation, or computational drug discovery.

Responsibilities

• Engage with customers to understand scientific challenges, workflows, and requirements.
• Translate customer needs into clear scientific presentations, demonstrations, and solution workflows.
• Deliver technical presentations, workshops, and demonstrations to prospective and existing customers.
• Support the sales process by aligning BIOVIA capabilities with customer objectives.
• Demonstrate advanced workflows for small-molecule drug discovery and biologics discovery and design.
• Show how AI/ML and automation can complement physics- and structure-based modeling.

Skills

Computational chemistry

Molecular modeling

AI/ML in drug design

Python

Communication skills

Pre-sales/customer-facing

Structure-based design

Education

Ph.D. in Computational Chemistry

Tools

Python

Molecular docking tools

Job description

Dassault Systemes is seeking a Ph.D.-level Industry Process Expert to join the Pre-Sales team for the BIOVIA portfolio. You will translate complex scientific challenges into compelling demonstrations, presentations, and workflows for prospective and existing customers.

The role emphasizes small-molecule and biologics discovery, molecular modeling, and the integration of AI/ML with traditional computational approaches to support modern drug discovery. Prior customer-facing experience is valued.