Senior Data Scientist - Protein Structure ML Models

This role focuses on applying advanced machine learning techniques to analyze and model protein structures, contributing to the development of innovative solutions in the biotechnology field. The ideal candidate will possess a strong background in data science, machine learning, and a passion for leveraging data to drive scientific discovery.

Key Responsibilities:

Develop and implement machine learning models for protein structure prediction and analysis.
Design and execute experiments to evaluate model performance and identify areas for improvement.
Collaborate with scientists and engineers to integrate models into research and development workflows.
Analyze large datasets of protein structures and related data to identify patterns and insights.
Stay up-to-date with the latest advancements in machine learning and bioinformatics.

Requirements/Qualifications:

Master's or Ph.D. degree in Computer Science, Statistics, Bioinformatics, or a related field.
Significant experience in machine learning, deep learning, and statistical modeling.
Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience working with biological data, particularly protein structures.
Excellent communication and collaboration skills.

About the Company: Amgen Technology Private Limited is a biotechnology company dedicated to discovering, developing, and delivering innovative medicines to patients with serious illnesses. The company focuses on advancing scientific understanding and translating breakthroughs into impactful therapies.