数据科学家 Data Analytics
6 months ago
We are looking for a Data Scientist (Entry and Senior level) who is keen to apply statistics, machine learning algorithms at the cutting-edge of life sciences. The primary focus of the role is:
Data Scientist (Entry level):
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.Data Scientist (Senior level):
Work with the team and client to shape and develop requirements for ambitious life science questions Translate business requirements into ML-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 or new AI product.Ideally you will have:
Graduated degree or higher in a technical or scientific domain, such as Statistics, Applied Statistics, Mathematics, Computer Science, or two to five years of experience working in a technical/consulting environment involving advanced analytics, preferably in a commercial setting. Entry level with 0 - 2 years of related experiences, senior level with 3 - 5 years of related experiences. 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 EnglishIQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at
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