Data Science Specialist
4 days ago
Job Description:
We are looking for an experienced Data Science Specialist with a strong background in Cheminformatics and hands-on experience in designing and developing AI models. The ideal candidate will have a solid understanding of data science principles and domain-specific knowledge in cheminformatics, particularly in
CADD and AIDD
Responsibilities:
Design and develop AI models with a strong understanding of non-functional requirements.
Implement robust and scalable AI solutions in the following areas:
Model Development: Develop and fine-tune generative AI models for various applications, ensuring efficiency and high-quality outputs.
- Data Processing: Design and manage data pipelines for training and deploying AI models, including data collection, cleaning, and preprocessing.
- Algorithm Optimization: Analyze and optimize AI algorithms for performance, including tasks like hyperparameter tuning, model compression, and implementing advanced optimization techniques.
- Prompt Engineering: Design and optimize prompts for generative AI models to improve performance and output quality, experimenting with different prompt structures and techniques.
Security Measures: Implement security measures to protect sensitive data and AI models, including data encryption, access control, and ensuring compliance with data privacy regulations.
CADD and AI-driven Drug Discovery:
Utilize CADD techniques such as molecular docking, virtual screening, and quantitative structure-activity relationship (QSAR) modelling. Apply AI-driven approaches for target identification, hit identification, ADMET prediction, lead optimization, and drug repositioning
- Maintain and improve existing AI models and pipelines.
- Collaborate with cross-functional teams to define, design, and deploy new AI features using Azure DevOps for CI/CD pipeline.
- Write unit tests and use debugging tools to ensure the robustness and reliability of AI models.
- Work on bug fixing and improving AI model performance.
Qualifications:
5-7 years of experience in data science and AI, with a minimum of 5 end-to-end AI projects delivered.
Hands-on experience with data science tools like Jupyter, Spyder, Visual Studio Code, and PyCharm.
Experience with Generative AI models and techniques such as GANs, VAEs, and transformers.
Experience with relational databases like Microsoft SQL Server and NoSQL databases.
Experience with version control tools like Git.
Strong problem-solving skills, algorithmic skills, and data structures.
Experience in Agile methodologies using Azure DevOps is a plus.
Proficiency in CADD techniques and AI-driven discovery methods
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