
Chief Data Architect
3 days ago
We are at the forefront of applying next-generation AI to chemistry and scientific reasoning.
Our team comprises seasoned experts from both the pharmaceutical and technology sectors, tackling significant technical challenges with substantial real-world impact.
We are developing the cutting edge of applied AI and scientific automation in an exciting phase of growth.
As a Data Specialist, you will be instrumental in building client's AI product, driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams to achieve organizational goals in pharmaceutical development.
- Develop and enhance AI-powered prediction models to predict and optimize chemical formulations.
- Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities.
- Improve the computational efficiency and scalability of existing models to handle diverse customer needs.
Key requirements include:
- 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.
- Mandatory programming experience in Python, 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.
The ideal candidate will have strong problem-solving and critical-thinking abilities, excellent communication skills, a collaborative mindset, and an 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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