AI-Powered Cheminformatics Specialist
22 hours ago
We are seeking an Artificial Intelligence Data Analyst to join our innovative team. As a key player in building AI products for clients, you will drive innovation by integrating AI/ML methodologies and fostering collaboration across interdisciplinary teams.
The ideal candidate will have expertise in cheminformatics data analysis, large-scale data handling, and proficiency in statistical and machine learning techniques. Experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn is mandatory, as well as programming skills in Python, R, or similar languages.
About the Role:- Platform Development:
- 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:
- 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.
- Optimization and Scalability:
- Improve the computational efficiency and scalability of existing models to handle diverse customer needs.
- Drive efficient use of computational and cloud resources, minimizing redundancy and controlling operational expenses.
- Cross-Functional Collaboration:
- Work closely with domain experts, software engineers, and project managers to ensure seamless integration of scientific methods into practical applications.
- Communicate findings and recommendations effectively 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.
- Education:
- Bachelor's or Master's in Computer Science| Data Science or Cheminformatics or Computational Chemistry.
- Course Certificates in Data Science.
- Experience:
- 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
- 4+ years of experience in data modeling, computational analysis, or similar roles, preferably in manufacturing, R&D, or chemical industries.
- 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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