Assoc Data Sc & Adv Anlytcs Mgr (Support Real World Evidence)

• Work with the team and client to shape and develop requirements for ambitious life science questions
• Translate business requirements into data science-focused solutions
• Communicate technical concepts and analytical output to a diverse set o stakeholder (internal and external)
• Own the delivery of projects from a technical perspective: working closely with consultants, and 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 etc.

• Graduated degree or higher in a technical or scientific domain, such as Statistics, Applied Statistics, Mathematics, Computer Science; public health/epidemiology background is preferred.
• Two to five years of experience 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, including ability to present technical concepts to non-expert, write analysis plans for projects under guidance, contribute to proposals applications, etc.
• A proactive, innovative, and pragmatic approach to problem solving and an ability to think critically and independently, able to work as part of a cross-functional team
• Fluent in both written and spoken English

IQVIA