• Assists in the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
• Assists in the development of features of models on individual projects and/or products with guidance and support from others
• Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
• Assists in the building and training of new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developed
• Uses a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
• With guidance and support from others, assists in the testing and validation of models to determine viability for deployment.
• Assists in creating fit for purpose experiments and prototype ideas to address pharma questions.
• Consult for internal and external clients, implement solution development and innovation with guidance and support from others, assist in client AI project technical delivery

Qualifications
• Master's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
• 0-2 years’ experience working on creating machine learning algorithms
• Programming experience using one or more of the following: Java, C++, Python, R, Deep learning or equivalent
• Experience working with large, real world datasets