
Unlocking AI Potential: A Career Opportunity
2 weeks ago
We are seeking a skilled Data Analyst to join our team and contribute to the development of client-centric AI products.
The ideal candidate will have a strong background in statistical modeling, machine learning, and data visualization. They will be responsible for analyzing large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities.
The successful candidate will possess excellent problem-solving skills, with the ability to communicate complex ideas effectively to technical and non-technical stakeholders. Additionally, they will have hands-on experience with Python programming, along with familiarity with popular libraries such as TensorFlow and PyTorch.
Key Responsibilities:
- Develop and enhance AI-powered prediction models to predict and optimize chemical formulations.
- 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.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Collaborate with customers to understand their R&D challenges and aid in tailoring the platform to address specific use cases.
Required Skills and Qualifications:
- Bachelor's or Master's in Computer Science| Data Science or Cheminformatics or Computational Chemistry.
- 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
- Proficiency in statistical and machine learning techniques.
- Programming experience in Python (preferred), R, or similar languages.
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