
Artificial Intelligence Specialist
2 weeks ago
About Us:
We are a cutting-edge technology firm at the forefront of applied AI and scientific automation. Our team comprises seasoned experts from both the pharmaceutical and technology sectors, tackling significant technical challenges with substantial real-world impact.
We are developing innovative solutions to optimize chemical formulations using advanced computational models. We are looking for talented individuals to join us who can thrive in a fast-paced, agile startup environment.
Job Overview:
Our company is working on a project that involves developing and enhancing AI-powered prediction models to predict and optimize chemical formulations. We need someone who can collaborate with software engineers to integrate these advanced computational models into our AI platform.
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.
- 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.
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.
- Background or project work in materials physics/chemistry or a related field is an added advantage, not mandatory
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