Data and Computational Scientist

As a Data and Computation Scientist, you will be an instrumental part in building Novoterra’s 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.