Data Director

2 days ago

Hyderabad, Telangana, India beBeeArtificialintelligence Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title

We are seeking a seasoned AI Professional to lead the development of innovative generative AI solutions for pharma and life sciences. The successful candidate will play a crucial role in defining and implementing AI architectures and roadmaps aligned with business goals.


Key Responsibilities
  • Develop and implement AI strategies that drive business growth and efficiency in pharma and life sciences.
  • Design and architect scalable AI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation.
  • Collaborate with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications.
  • Implement best practices for AI model deployment, monitoring, and lifecycle management within GxP-compliant environments.
  • Ensure AI solutions comply with regulatory standards and adhere to responsible AI principles, including bias mitigation and explainability.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field.
  • 8+ years of experience in AI/ML development, with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences.
  • Strong proficiency in generative AI, large language models, multimodal AI, and deep learning for pharma applications.
  • Hands-on experience with AI/ML frameworks, data engineering, ETL pipelines, and big data technologies.
  • Proficiency in programming languages such as Python, R, or Java, and knowledge of cloud AI services.
  • Familiarity with CI/CD, containerization, vector databases, and real-time model monitoring.
  • Understanding of AI governance, responsible AI principles, and compliance requirements for AI in pharma.
  • Strong analytical and problem-solving skills, with the ability to design innovative AI solutions for life sciences use cases.
  • Excellent communication skills to articulate AI strategies and solutions to technical and non-technical stakeholders.

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