AI-Powered Pharmaceutical Development Specialist

4 days ago

Ajmer, Rajasthan, India beBeeDataScientist Full time US$ 1,50,000 - US$ 2,10,000
Job Title

Unlock the Potential of AI in Drug Discovery as a Data Scientist

  • Role Overview:
  • As a pivotal member of our interdisciplinary team, you will be instrumental in driving innovation and integrating cutting-edge AI/ML methodologies to accelerate pharmaceutical development.
  • 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 our 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.
  • Qualifications:
  • - Bachelor's or Master's in Computer Science| Data Science or Cheminformatics or Computational Chemistry.
  • - Course Certificates in Data Science.
  • - 6+ years of total experience, 3+ 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.
  • - 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 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.
  • - 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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