
Become an AI Innovator in Pharmaceutical Development
19 hours ago
Transform your career with a groundbreaking opportunity as an AI Innovator in the pharmaceutical industry.
We are at the forefront of revolutionizing how molecules are discovered and developed, combining cutting-edge AI with chemistry and scientific reasoning.
Join a diverse team of experts from both pharmaceuticals and technology, tackling complex challenges with the potential for substantial real-world impact.
Role Summary:
As an AI Innovator, you will play a pivotal role in building AI products, driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams to achieve organizational goals in 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 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.
• 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.
Qualifications:
• Bachelor's or Master's in Computer Science | Data Science or Cheminformatics or Computational Chemistry
• 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.
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 cheminformatics data analysis and large-scale data handling.
• Desired: Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations.
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