当前位置:知识人网 >> 国外博士后招聘 >> 正文内容

美国纽约Roche创新中心分子生物学/生物医学/计算生物学/生物信息学/数据科学方向博士后招聘
文章来源:知识人网整理       更新时间:2018年11月27日

  Job summary:

  The digitization and availability of the vast amount of real world patient data has created significant opportunity to understand real world patients and their clinical experiences, beyond traditional research in standard clinical trials. The increasingly affordable genomic sequencing technologies also made it possible to study and treat patients based on their genetic make-up. You will join our Data Science team at Roche Innovation Center New York to mine the rich and highly curated electronic healthcare records (EHR) integrated with genetics data in our Flatiron-FMI data marts, as well as public data sources where appropriate. By applying advanced analytics, you will generate evidence from real world data that can increase our understanding of disease biology, drug resistance and/or drug response mechanisms, hence help accelerate our drug development and bring new medicine to patients. In this position, you will have the rare opportunity to apply your analytical skills in statistics, machine learning, deep learning and biological pathway analysis to cancer immunotherapy challenges, using valuable integrated patient data.

  Responsibilities:

  Identify and apply appropriate analytical methods to ensure fit-for-purpose approaches.

  Apply rigor in study design and analysis plan. * * Prepare data and perform data analysis.

  Interpret results, create visualization and generate reports to convey new insights in cancer biology in a way that maximize impact and interpretability.

  Present work internally and at conferences.

  Publish in peer-reviewed journals.

  Requirements:

  Ph.D. in biology- or data-related sciences such as Molecular Biology, Biomedicine, Computational Biology, Bioinformatics, Data Science.

  Knowledge and experience in cancer immunology is a must. Additional knowledge and experience in epidemiology is a plus.

  Strong quantitative analytical skills in statistics, machine learning and predictive modeling.

  Proficient in an**alysis programming skills (e.g. R or Python) and SQL.

  Experience in analysis of Real World Data such as EHR and health insurance claims is highly desired.

  Experience in analysis of large scale genetic data is also highly desired.

  A creative self-motivated individual with excellent communication skills.

  以上内容由知识人网咨询老师整理发布,希望能给遇到此类状况的申请者们一个清晰的方向。想了解更多关于博士后申请的相关资讯,可以登录我们的官方网站

扫一扫知识人网官方微信订阅号,关注更多学术资讯、博士后招聘信息。
国外博士后、访问学者申请免费专业评估,专业顾问在线答疑解惑。

快速申请国外博士后(免费评估)


点击这里快速申请国外博士后

点击这里快速申请国外访问学者

知识人网是专职国外博士后访问学者申请的服务机构,获评“北京诚信服务示范单位”。
自2004年起,累计十余年申请经验,以大量名校申请成功案例、及全球三万余所院校导师资源为基石,提供优质的申请咨询服务。
400电话:400-060-0581,欢迎您随时来电咨询!