Data and computational scientist -Drug industry

Data and Computational Scientist

As a Data and Computation Scientist, you will be an instrumental part in building Novoterras AI product. The role is pivotal in driving innovation, integrating AI / ML methodologies, and fostering collaboration across interdisciplinary teams to achieve organizational goals in pharmaceutical development.

Key Responsibilities

• 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
• Categorize the chemistry reaction data based on thermodynamic, kinetic and other properties.
• 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.
• Ensure all computational tools and methodologies comply with industry standards and best practices.
• 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.

Qualifications