Computational Scientist - Digital R&D BioAIM Data Science

This role involves developing AI/ML models for pharmaceutical research datasets, building predictive algorithms, deploying agentic AI systems, and collaborating across interdisciplinary teams including data engineers, software engineers, and research scientists focused on protein therapeutics.

Key Responsibilities

• Develop AI/ML models for pharmaceutical research datasets
• Build predictive algorithms for molecule-related problems
• Deploy agentic AI systems
• Collaborate across interdisciplinary teams
• Work with data engineers, software engineers, and research scientists

Requirements

• Advanced degree (M.Sc. or PhD) in AI/ML, Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology, or Engineering Sciences
• 3+ years industry experience developing and deploying ML/Deep Learning solutions for molecule-related problems
• Proficiency in Python with PyTorch, TensorFlow, Keras, Scikit-learn, Numpy, Matplotlib
• Expertise in neural network architectures: CNNs, GANs, RNNs, Transformers, LLMs
• Data visualization and dimensionality reduction capabilities
• Molecular structure/sequence featurization knowledge
• Cloud and high-performance computing experience (AWS preferred)
• Understanding of pharmaceutical R&D processes