You should be able to demonstrate:

·         Graduated degree or higher in a technical or scientific domain, such as Statistics, Applied Statistics, Mathematics, Computer Science.

·         Experience of working in a technical/consulting environment involving advanced analytics, preferably in a commercial setting.

·         Strong scientific programming skills in languages such as Python, R, SAS, SQL.

·         Appetite for applying new and existing technology to challenging problems in life science, i.e. motivated by solving the problem

·         Knowledge of supervised machine learning methods, such as regularized regression, ensemble tree-based models, support vector machines, deep learning methods, etc.

·         Basic knowledge of Natural Language Processing, such as sentiment analysis, topic model, NER, etc.

·         Good written and spoken communication skills.

You will experience:

·         Under guidance, deliver standard and customized projects via statistical or machine learning approaches.

·         Work with the team to understand internal/external client’s requirements, conduct machine learning models after the translation of requirements into ML-focused methodology.

·         Work closely with other team members in an agile environment to deliver high quality, robust insights.

·         Work closely with consultant, disease area expert, and technology expert to proactively identify opportunities for innovation and areas for improvement across the workflow, such as developing new offering or new AI product.

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