Internship: BIOVIA AI Scientific Virtual Companion Development

INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

As an Intern in the BIOVIA MARIE Scientific Virtual Companion team, you will contribute to the development of agentic AI solutions and machine learning capabilities on Dassault Systèmes’ 3

DEXPERIENCE platform and BIOVIA’s Pipeline Pilot AI platform. Your work will empower scientists and researchers to solve complex challenges in cheminformatics, medical imaging, and scientific data processing.

• Develop AI Agents & Workflows:
  Design, implement, and optimize intelligent agents for scientific applications (e.g., chemistry, biology) using Pipeline Pilot and 3
  
  DEXPERIENCE. Build scalable, user-friendly workflows with graphical interfaces.
• Machine Learning
  
  Innovation:
  Research, develop, and deploy state-of-the-art deep learning algorithms for image analysis, tabular data processing, and scientific applications. Explore federated learning, continuous learning, and model optimization.
• Collaboration & Product Development:
  Work with software engineers, product managers, QA teams, and customer-facing teams to deliver high-quality solutions. Participate in design, testing, and validation of AI/ML workflows.
• Quality & Automation:
  Contribute to automated testing to ensure robustness and reliability of new functionalities. Support workflow automation and AI-driven capabilities in Pipeline Pilot.
• Project Focus Areas:
  Potential projects include medical imaging quality control (e.g., MRI validation), deep learning model optimization, image annotation tools, privacy-preserving AI, and scientific workflow automation.

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Chemistry, Data Science, Biomedical Engineering, Electrical Engineering, or a related technical field.
• Must remain actively enrolled in an accredited university for the duration of the internship.
• Minimum cumulative GPA of 3.0.

• Required:
  • Proficiency in Python programming.
  • Experience with agentic AI, LLMs, and AI libraries (e.g., Lang Chain, Lang Graph).
  • Familiarity with machine learning/deep learning frameworks (e.g., Tensor Flow, PyTorch).
  • Knowledge of scientific computing libraries (e.g., Num Py, pandas, scikit-learn, OpenCV).
• Preferred:
  • Experience with data pipelines, cheminformatics, or medical imaging workflows.
  • Hands-on experience with model training, deployment, or workflow automation.
  • Exposure to image processing, annotation tools, or federated learning.

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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

Salary Pay Transparency

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $22 and $40, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

BIOVIA provides scientific solutions to discover, design, develop and deliver innovative drugs, materials and formulas.