Data and computational scientist

1 day ago

Hyderabad, Telangana, India Job Hub Hr Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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