AI Innovator

Artificial Intelligence Researcher">

About Us:

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We are a pioneering organization at the forefront of applying next-generation AI to chemistry and scientific reasoning.

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Our team comprises seasoned experts from both the pharmaceutical and technology sectors, tackling significant technical challenges with substantial real-world impact.

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Our founders are visionaries with 20+ years of experience in their respective industries.

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Role Summary:

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As an Artificial Intelligence Researcher, you will be instrumental in building client's AI product.

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The role is pivotal in driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams to achieve organizational goals in pharmaceutical development.

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Key Responsibilities:

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• Platform Development:">

- Develop and enhance AI-powered prediction models to predict and optimize chemical formulations.

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- Collaborate with software engineers to integrate advanced computational models into the AI platform.

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• Data Analytics and Modeling:">

- Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities.

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- Develop and validate statistical and machine learning models to improve prediction accuracy and reliability.

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• Optimization and Scalability:">

- Improve the computational efficiency and scalability of existing models to handle diverse customer needs.

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- Drive efficient use of computational and cloud resources, minimizing redundancy and controlling operational expenses.

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- Ensure all computational tools and methodologies comply with industry standards and best practices.

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• Cross-Functional Collaboration:">

- Work closely with domain experts, software engineers, and project managers to ensure seamless integration of scientific methods into practical applications.

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- Communicate findings and recommendations effectively to technical and non-technical stakeholders.

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• Customer Engagement:">

- Collaborate with customers to understand their R&D challenges and aid in tailoring the platform to address specific use cases.

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- Deliver insights and solutions based on predicted outputs, ensuring alignment with customer sustainability and performance goals.

">">Qualifications:">

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• Education:">

- Bachelor's or Master's in Computer Science| Data Science or Cheminformatics or Computational Chemistry

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- Course Certificates in Data Science

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• Experience:">

- 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.

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- 4+ years of experience in data modeling, computational analysis, or similar roles, preferably in manufacturing, R&D, or chemical industries.

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- Proficiency in statistical and machine learning techniques.

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- Background or project work in materials physics/chemistry or a related field is an added advantage.

">">Technical Skills:">

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• Mandatory Skills:">

- Programming experience in Python (preferred), R, or similar languages.

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- Hands-on experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn.

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- Expertise in cheminformatics data analysis and large-scale data handling.

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• Desirable Skills:">

- Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations.

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- Experience with databases (SQL/NoSQL) and data visualization tools.

">">Soft Skills:">

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• Strong Problem-Solving and Critical-Thinking Abilities:">
• Excellent Communication Skills:">
• Team Player with a Collaborative Mindset:">
• Efficient and Flexible Disposition:">

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Interested candidates can apply by sharing their resume. Apply via LinkedIn job post.

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