Proven hands-on experience with Generative and Agentic AI technologies and frameworks
Proficiency in Python and hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with AWS AI/ML services (e.g., SageMaker, Bedrock, Rekognition, Comprehend)
Experience in bioinformatics, computational biology, or a related field is a strong plus
Strong foundation in statistics, algorithms, and data structures.Key Responsibilities
Design and develop sophisticated machine learning systems and applications
Research and implement appropriate ML algorithms and tools
Develop, fine-tune, and deploy Generative AI models (e.g., LLMs, diffusion models) for tasks such as data augmentation, molecule generation, or scientific literature analysis
Work with anonymized patient data and clinical trial data to build predictive and analytical models
Ensure all models and data handling practices are compliant with pharma industry regulations (e.g., FDA, GxP)
Perform statistical analysis, validation, and performance tuning of models jd for ai/ml.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time