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墨菲特癌症中心和研究机构数据科学、生物信息学、生物统计学、计算机科学博士后招聘

时间:2019-05-29来源:中国博士人才网 作者:佚名

 招聘简介:

  ·H。Lee Moffitt癌症中心和研究所

  ·地点:佛罗里达州坦帕市

  职位描述

  计算博士后研究员

  开发用于癌症研究的组学整合方法和单细胞计算工具。

  职位亮点:

  •这位计算博士后研究员将负责开发用于分析,可视化和解释单细胞组学数据的新分析。

  •将有充分的机会与基础,转化,临床研究人员,生物信息学家和生物统计学家直接互动,以开发用于分析单细胞数据的算法或工具。

  理想的候选人:

  •具有高度积极性的研究人员,具有强大的定量科学背景和编程技能。

  •研究机器学习,AI和/或交互式工具开发的背景/经验。

  •非常需要学习新工具和知识的能力。

  英文原文:

  ·         H. Lee Moffitt Cancer Center & Research Institute

  ·         Location: Tampa, FL

  Job Description

  Computational Postdoctoral Fellow

  Developing omics integration approaches and single cell computational tools for cancer research.

  Position Highlights:

  • This computational postdoctoral fellow will be responsible for developing novel analytics for analyzing, visualizing, and interpreting single cell omics data.

  • There will be ample opportunities to interact directly with basic, translational, clinical researchers, bioinformaticians, and biostatisticians to develop algorithms or tools for analyzing single cell data.

  The Ideal Candidate:

  • A highly motivated researcher with a strong quantitative scientific background and programming skills.

  • Research background/experiences in machine learning, AI, and/or interactive tool development.

  • Ability to learn new tools and knowledge is highly desirable.

  Responsibilities:

  • Will be responsible for developing novel analytics for analyzing, visualizing, and interpreting single cell omics data.

  • Will help understand tumor-microenvironment changes, cancer patient treatment response, and for treatment prediction.

  Credentials and Qualifications:

  Required: PhD in Data Science, Bioinformatics, Biostatistics, Computer Science, or related fields.

  Preferred:

  • Strong programming skills in languages such as R, Matlab, Python, and JavaScript, etc.

  • Experience in developing open-source software and/or interactive web-based tools.

  • Solid quantitative background and experiences of developing novel algorithms or methods for analyzing time series data.

  • Experience of integration of multi-omics data including whole exome sequencing, RNA-seq, metabolomics, proteomics, etc.

  • Research background in machine learning and AI.

  • Experience with cloud computing/compute cluster environments.

  • Excellent communication and writing skills.

  How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Y. Ann Chen @ Ann.Chen@moffitt.org.

  H. Lee Moffitt Cancer Center & Research Institute is an equal opportunity, affirmative action employer, and a drug free workplace

  Contact Information:

  Eric Haura

  Eric.Haura@moffitt.org

  United States

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