AI/ML Engineer, Drug Discovery (Contractor)

*Note: this is a 6-month contract position, with possibility of extension. Local candidates based in San Diego are strongly preferred. Remote candidates will also be considered based on qualifications. *

Company Overview:

Vividion is a next generation biotechnology company based in San Diego that is leveraging its proprietary chemical proteomics platform to conduct proteome-wide footprinting of drug-protein interactions with unprecedented breadth and precision. Our technology allows us to screen, identify and optimize novel drugs that selectively bind virtually any protein, including proteins previously considered “undruggable”. Our pipeline and emerging programs reflect a matured and productive platform capable of delivering first in class drugs utilizing novel mechanisms of action (allosteric inhibitors, protein-protein interaction inhibitors, functional activators, degraders etc.) against undruggable targets in the oncology and immunology space.

We prize scientific excellence, creativity, team players and we are committed to continued innovation.  We have worked hard to create a collaborative and dynamic work culture where your ideas and discoveries are valued and will have an impact.  We are growing and there are opportunities for mentorship and career progression.

Vividion has been recognized as a Top Workplace by The San Diego Union-Tribune from 2022 to 2025.

Job Summary:

Vividion is seeking a hands-on AI/ML Engineer with experience applying data science, machine learning, and informatics approaches to drug discovery. This role is well suited for a collaborative builder who can work directly with scientists, understand scientific questions, and translate complex data into practical models, analytical tools, and reproducible workflows.

The successful candidate will contribute across the full solution lifecycle, including data preparation, exploratory analysis, feature engineering, model development, validation, deployment, and ongoing improvement. The emphasis is on delivering useful, reliable solutions for scientific teams, with opportunities to expand into production AI systems, large language model applications, and agent-based workflows.