
艾昆纬-统计分析师/咨询顾问
岗位职责:
- Provide statistical methodology support in the delivery of standard and custom studies.
- Apply statistical design and methodology to meet client information needs, conducts statistical analyses to derive conclusions from the study and assists in preparing written summaries of study results.
- Work as part of a team in preparing analysis plans and statistical reports and performs validation of statistical analysis, work closely with Global team.
- Work on projects of limited scope within defined procedures and practices.
岗位要求:
- Master’s/Bachelor’s degree, or equivalent, in Statistics, Mathematics, Computer Science,Information Technology or related field(s).
- Experience in data programming languages R, Python, SAS, SQL, etc.
- Strong mathematical and statistical knowledge (modeling, sampling, statistics, analytics, etc.).
- Experience in new advanced and analytical techniques (ML/AI) related to data architecture,data and feature engineering and predictive/classification analytics.
- Ability to carry out moderate analysis and information gathering from various sources toresolve problems on non-routine matters.
- Good English oral and written skills.
工作城市: 上海
艾昆纬-数据科学家(机器学习)
岗位职责:
- Under guidance, Deliver standard and customized projects via statistical or machine learning approaches.
- Work with the team to understand 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 on projects of fixed scope within pre-defined methodology.
- Work with Senior Data Scientist to develop multiple machine learning algorithms on pharmaceutical industry related applications, e.g. insights mining and commercial strategy research in the real-world human data of life science industry, reveal physicians’ responsiveness to digital engagement messaging, understand diagnosis/products relations,etc
岗位要求:
- Graduated degree or higher in a technical or scientific domain, such as Statistics, Applied Statistics, Mathematics, Computer Science.
- 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.
工作城市: 北京、上海
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