
AI Product Development Lead
1 week ago
As a Data Scientist, you will play a pivotal role in driving innovation and collaboration across interdisciplinary teams to build client's AI product.
- Develop and enhance AI-powered prediction models to predict and optimize chemical formulations.
- Collaborate with software engineers to integrate advanced computational models into the AI platform.
- Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities.
- Develop and validate statistical and machine learning models to improve prediction accuracy and reliability.
- Improve the computational efficiency and scalability of existing models to handle diverse customer needs.
Key Responsibilities:
- Develop and enhance AI-powered prediction models to predict and optimize chemical formulations.
- Collaborate with software engineers to integrate advanced computational models into the AI platform.
- Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities.
- Develop and validate statistical and machine learning models to improve prediction accuracy and reliability.
- Improve the computational efficiency and scalability of existing models to handle diverse customer needs.
- Education: Bachelor's or Master's in Computer Science, Data Science, Cheminformatics, or Computational Chemistry.
- Experience: 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
- Technical Skills: Programming experience in Python (preferred), R, or similar languages; Hands-on experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn; Expertise in cheminformatics data analysis and large-scale data handling.
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