招聘簡(jiǎn)介：

　　·H。Lee Moffitt癌癥中心和研究所

　　·地點(diǎn)：佛羅里達(dá)州坦帕市

　　職位描述

　　計(jì)算博士后研究員

　　開(kāi)發(fā)用于癌癥研究的組學(xué)整合方法和單細(xì)胞計(jì)算工具。

　　職位亮點(diǎn)：

　　•這位計(jì)算博士后研究員將負(fù)責(zé)開(kāi)發(fā)用于分析，可視化和解釋單細(xì)胞組學(xué)數(shù)據(jù)的新分析。

　　•將有充分的機(jī)會(huì)與基礎(chǔ)，轉(zhuǎn)化，臨床研究人員，生物信息學(xué)家和生物統(tǒng)計(jì)學(xué)家直接互動(dòng)，以開(kāi)發(fā)用于分析單細(xì)胞數(shù)據(jù)的算法或工具。

　　理想的候選人：

　　•具有高度積極性的研究人員，具有強(qiáng)大的定量科學(xué)背景和編程技能。

　　•研究機(jī)器學(xué)習(xí)，AI和/或交互式工具開(kāi)發(fā)的背景/經(jīng)驗(yàn)。

　　•非常需要學(xué)習(xí)新工具和知識(shí)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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