
Data and computational scientist
2 weeks ago
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
- Education
- Masters or Ph.D. in Cheminformatics, Computational Chemistry
- Course Certificates in Data Science
- Experience
- 10+ years of total experience, 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
- Technical Skills
- Mandatory: Programming experience in Python (preferred), R, or similar languages.
- Mandatory: Hands-on experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn.
- Mandatory: Expertise in cheminformatic data analysis and large-scale data handling.
- Desired: Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations.
- Experience with databases (SQL/NoSQL) and data visualization tools.
- 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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