
AI-driven Discovery and Development Expert
1 week ago
Role Summary:
We are on the cusp of revolutionizing pharmaceutical development and materials science through cutting-edge AI technology. We are seeking a highly skilled Data Scientist to spearhead our client's AI product, driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams to achieve groundbreaking results.
- 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.
Data Analytics and Modeling
As a Data Scientist, you will analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities. You will develop and validate statistical and machine learning models to improve prediction accuracy and reliability.
Optimization and Scalability
You will improve the computational efficiency and scalability of existing models to handle diverse customer needs. You will drive efficient use of computational and cloud resources, minimizing redundancy and controlling operational expenses. All computational tools and methodologies must comply with industry standards and best practices.
Cross-Functional Collaboration
You will work closely with domain experts, software engineers, and project managers to ensure seamless integration of scientific methods into practical applications. Effective communication is key to conveying complex ideas to technical and non-technical stakeholders.
Customer Engagement
Collaborate with customers to understand their R&D challenges and aid in tailoring the platform to address specific use cases. Deliver insights and solutions based on predicted outputs, ensuring alignment with customer sustainability and performance goals.
Requirements:
- Education: Bachelor's or Master's in Computer Science| Data Science or Cheminformatics or Computational Chemistry.
- Experience: 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.
- Background or project work in materials physics/chemistry or a related field is an added advantage.
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.
Soft Skills:
- Strong problem-solving and critical-thinking abilities.
- Excellent communication skills to convey complex ideas to varied audiences.
- Team player with a collaborative mindset.
- Efficient and flexible disposition, able to rapidly learn new fields and use data science and machine learning to improve decision-making and workflows.
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