Transformative AI Innovator

2 weeks ago

Hubli, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Accelerate innovation and shape the future of pharmaceutical development as a Data Scientist

About the Role:

As a Data Scientist, you will play a pivotal role in building cutting-edge AI products that revolutionize the pharmaceutical industry. Your expertise will be instrumental in driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams.

Key Responsibilities:

  • 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.
  • 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.
  • 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.
  • 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.
  • Deliver insights and solutions based on predicted outputs, ensuring alignment with customer sustainability and performance goals.

Requirements:

  • Education: Bachelor's or Master's in Computer Science, Data Science, Cheminformatics, or Computational Chemistry.
  • Experience: 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
  • Proficiency in statistical and machine learning techniques.
  • Background or project work in materials physics/chemistry or a related field is an added advantage.
  • 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.
  • Desired: Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations.
  • Experience with databases (SQL/NoSQL) and data visualization tools.

Skills & Qualifications:

  • 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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