Experiment with various LLM, and other machine learning and statistical models, develop data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric data
Work with subject matter experts (SMEs) to evaluate models, and present results to stakeholders, demonstrating the value of the ML techniques in new product concepts
Use object-oriented programming and functional programming best practices to maintain codebases and write unit tests
Contribute to the preparation of technical reports, patent applications, and transferable protocols
Contribute to the construction and maintenance of the AWS data pipeline
Maintain up-to-date knowledge of advances in machine learning and AI
Qualifications
Master's in computer science, data science or related field and at least 3 years’ relevant work experience, or a Ph...