
Leading AI Innovations in Pharmaceutical Development
19 hours ago
Our mission is to revolutionize pharmaceutical development by leveraging cutting-edge AI technology.
About Our Work:We are a pioneering organization at the forefront of applying next-generation AI to chemistry and scientific reasoning. Our team comprises seasoned experts from both pharmaceutical and technology sectors, tackling significant technical challenges with substantial real-world impact.
Our founders have a strong background in entrepreneurship, biopharma industries, and education. We are developing the cutting edge of applied AI and scientific automation, growing rapidly.
As an AI Innovator, you will be instrumental in building client's AI product, driving innovation, and fostering collaboration across interdisciplinary teams to achieve organizational goals.
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.
Additionally, you will:
- Improve 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.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Collaborate with customers to understand their R&D challenges and tailor the platform to address specific use cases.
**Required Qualifications:**
- Bachelor's or Master's in Computer Science, Data Science, 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.
**Technical Skills:**
- 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.
Our ideal candidate has a strong passion for innovation and a commitment to excellence.
We offer a dynamic work environment, competitive compensation, and opportunities for growth and development.
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