岗位职责：

提供重大的临床蛋白质组学研究的设计方案；撰写复杂的正式统计分析的研究计划；提供正确的数据统计分析（微分表达式、分类）和结果的讲解，以确保结论的有效性；计划并实施新的质量控制和数据分析程序；提供明确的统计分析结果的可视化和总结；撰写和审查部分统计研究报告；对于研究平台结果和吞吐量提出如何改善质量的科学性建议；执行随机分析评估数据质量和提高对于结果的讲解；

任职要求：

MSc或博士，研究生物统计学、统计、生物信息学等相关领域；至少3年的数据分析工作经验，最好是蛋白质组学组学相关领域；

Overview

The Phoenix Center is seeking a highly motivated individual with experience in biostatistics, with proteomics experience a strong plus. As part of the Phoenix technical platform, the Biostatistician will be involved in study design, quality control and analysis of proteomics data, results visualization and reporting. The Biostatistician will be respoible for the choice of statistical methodology, the writing of the statistical analysis plan, carrying out the analyses and providing interpretatio and conclusio that can be derived from the results. The successful candidate will also perform ad-hoc analyses and advise the scientific team on general statistical questio, study design, and data analysis. The Biostatistician is expected to propose and implement new quality control and data analysis procedures and/or improve existing ones.

Respoibilities

?Provide significant input into the design of clinical proteomic studies;

?Write formal Statistical Analysis Pla for complex studies;

?Propose randomization schemes for sample processing;

?Perform statistical analyses of data (differential expression, classification) and interpret results to eure validity of conclusio;

?Propose and implement novel quality control and data analysis procedures;

?Provide clear visualization and summary of statistical analysis results;

?Write and review statistical sectio for protocols and study reports;

?Provide scientific recommendatio on how to improve the quality of the results and the throughput of the research platform;

?Perform ad-hoc analysis to evaluate data quality or improve the undetanding of the results.

Qualificatio

?MSc. or Ph.D. in Biostatistics, Statistics, Bioinformatics or related field of study;

?At least three yea of work experience in data analysis, preferred in the area of proteomics or related omics fields.

Skills/Abilities/Competencies

?Peonal integrity, reliability, and precision;

?Ability to work flexible working hou;

?Ability to multi-task;

?Must be able to interact effectively with individuals at all organizational levels;

?Experience with a variety of statistical methods including general linear models (e.g., ANOVA), logistic regression, univariate and multivariate analyses, and longitudinal analyses;

?Experience in predictive modelling, classification and discriminant analysis is strongly desirable;

?Experience with R (preferred) or Matlab;

?Experience with Perl, Python, or similar scripting language;

?Solid undetanding of molecular biology, proteomics and mass spectrometry is a strong plus;

?Experience in scientific data visualisation;

?Good oral and written English communication skills;

?Good interpeonal skills and ability to work collaboratively as part of a fast paced research team.