Collaborative Drug Discovery
Software Engineer Informatics & Machine Learning
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Job Description
This role requires a strategic combination of software engineering, scientific expertise, and collaboration skills to integrate AI-driven tools into a commercially production-ready product. The Machine Learning Software Engineer will work closely with:
- External partners (e.g., NVIDIA, Schrodinger, DataWarrior)
- Internal leadership (e.g., CEO, CTO, Senior Chemoinformatics Researchers)
The CDD Vault platform currently supports 4+ billion drug discovery data points, 80 million structures, and 20,000 projects. This position will help shape industry-leading AI solutions for scientists worldwide.
Job Responsibilities
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Primary tasks include
- Leveraging AI technologies to enhance scientific research and differentiate CDD’s products.
- Designing, validating, and releasing new versions of the platform to improve scalability and performance.
- Refining the user interface in response to direct feedback from scientific users.
- Rapidly learning and adapting to lead in the evolving field of AI-driven drug discovery.
Position Location
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Remote, or work from our office in Burlingame, California.
Remote-work eligible
Position Type
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Full-time, permanent
Work Eligibility
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United States
To apply, contact work@collaborativedrug.com with your resume.
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