Artificial Intelligence Solutions Developer
2 weeks ago
As a Data Specialist, you will play a key role in building AI solutions that drive innovation and collaboration across interdisciplinary teams.
Key Responsibilities:- Develop and enhance AI-powered models to predict and optimize chemical formulations.
- Collaborate with software engineers to integrate advanced computational methods into AI platforms.
- Analyze large chemistry datasets 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.
- Enhance the efficiency and scalability of existing models to handle diverse customer needs.
- Drive efficient use of computational resources, minimizing redundancy and controlling operational expenses.
- Ensure all computational tools and methodologies comply with industry standards and best practices.
- 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.
- Collaborate with customers to understand their R&D challenges and aid in tailoring the platform to address specific use cases.
- Bachelor's or Master's degree in Computer Science, Data Science, Cheminformatics, or Computational Chemistry.
- Course certificates in Data Science.
- 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.
- Proficiency in statistical and machine learning techniques.
- Background or project work in materials physics/chemistry or a related field is an added advantage, not mandatory.
- 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.
- Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations.
- Experience with databases (SQL/NoSQL) and data visualization tools.
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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