What are the responsibilities and job description for the Software Engineer Informatics & Machine Learning position at Collaborative Drug Discovery - CDD Vault?
- Products
- CDD Vault
- Why CDD Vault
- CDD Vault Services
- Core Functionality
- Registration
- Activity
- Visualization
- Assays
- Add-ons
- ELN
- Inventory
- Curves
- AI
- Automation
- Solutions
- Applications
- Assay Data Management
- Macrocycle
- Protein Therapeutic
- CRISPR
- PROTAC
- Antibody Drug Conjugate
- Small Molecules & Mixtures
- Industries
- Biotech & Pharmaceutical
- CRO
- Academics
- Agritechnology
- Consortia & Collaborations
- Consumer Goods
- User Roles
- Research Scientist
- Operations/IT
- Legal/Regulatory
- Executive Leadership
- Investor
- Startup Founder
- Customers
- Testimonials
- Case Studies
- Spotlight Interviews
- Resources
- Blog
- News
- Upcoming Events
- Upcoming Webinars
- Past Webinars
- CDD Vault Updates
- CDD Vault Snacks
- Free Visualization Tool
- About
- About Us
- Leadership
- CDD Book
- Partners
- Publications and Citations
- Security Policy
- Careers
Job Description
The Machine Learning Software Engineer will play a critical role in developing cutting-edge AI capabilities within the CDD Vault platform, a scientifically aware and enterprise-level system. The AI module, the newest addition to a suite of nine modules developed over twenty years, is built on the Ruby on Rails framework.
This Position Involves:
- Molecular Representation & Deep Learning: Enhancing chemically rich vector (CRV) representations and extending ultrafast deep learning similarity searches from 24 million to over 60 billion molecules.
- Generative Bioisosteres & IP Generation: Optimizing AI-driven molecular design to contribute to novel composition-of-matter patents (IP generation).
- AI & Bioinformatics Integration: Unifying chemoinformatics AI (rapid chemical analysis) with bioinformatics (e.g., AlphaFold2 sequence-to-structure capabilities) to create AI-driven drug discovery workflows (QSAR, docking, virtual libraries).
- External partners (e.g., NVIDIA, Schrodinger, DataWarrior)
- Internal leadership (e.g., CEO, CTO, Senior Chemoinformatics Researchers)
Job Responsibilities
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.
Remote, or work from our office in Burlingame, California.
Remote-work eligible
Position Type:
Full-time, permanent
Work Eligibility:
United States
This Position Involves:
- Molecular Representation & Deep Learning: Enhancing chemically rich vector (CRV) representations and extending ultrafast deep learning similarity searches from 24 million to over 60 billion molecules.
- Generative Bioisosteres & IP Generation: Optimizing AI-driven molecular design to contribute to novel composition-of-matter patents (IP generation).
- AI & Bioinformatics Integration: Unifying chemoinformatics AI (rapid chemical analysis) with bioinformatics (e.g., AlphaFold2 sequence-to-structure capabilities) to create AI-driven drug discovery workflows (QSAR, docking, virtual libraries).
- External partners (e.g., NVIDIA, Schrodinger, DataWarrior)
- Internal leadership (e.g., CEO, CTO, Senior Chemoinformatics Researchers)
Job Responsibilities
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.
Remote, or work from our office in Burlingame, California.
Remote-work eligible
Work Eligibility:
United States