计算生物学分析师
Computational Bioinformatics Analyst
桑福德医疗系统是美国最大的农村医疗体系，致力于改善医疗体验，并为美国中部地区提供世界级的医疗服务
工作班次：
8 小时 - 白班（美国）
每周计划工作时间：
40 小时
薪酬：
薪资范围：34.50 - 57.00 美元
工会职位：
否
部门详情
计算生物信息学部门参与涵盖临床和研究领域的引人入胜的项目，所有项目均围绕患者护理中的精准医学展开。这些项目需要与跨职能团队协作，以制定全面的项目实施方案。临床项目涉及直接应用于患者护理的基因检测面板的实施，而研究项目则进一步推动 Imagenetics 在基因组学领域推进教育、知识和研究的目标。
生物信息学团队担任数据分析师、流程工程师和数据科学家，并在多个角色之间切换。
简介
为表型组、代谢组、糖组、脂质组、炎症组、转录组、表观基因组和基因组的计算分析或构建分析所需的逻辑和技术流程提供支持。具备在这些领域之一或多个领域的创新学术背景。
职位描述
应用程序开发的计算和数据库系统将用于收集、生成和跟踪患者数据，并开发具有医学意义的假设。熟悉在医疗环境中处理患者数据以及制定适当伦理和法律合规政策的相关安全和隐私要求者优先。为每个项目制定数据分析计划，进行项目跟踪、结果监控、统计验证和分析，并撰写论文。了解生物信息学数据格式、工具和分析方法。进行基因通路分析。了解数据及其存储位置和方式。编写临床测试的标准操作规程（SOP），并撰写有效文档。对数据进行编程分析。开发计算服务，获取基因检测结果并进行质量分析，然后生成报告至报告平台，由实验室审核并签字确认。进行统计验证和分析。协助确定所需的统计需求
查看英文原文
Sanford Health, the largest rural health system in the United States, is dedicated to transforming the health care experience and providing access to world-class health care in America’s heartland.
Work Shift:
8 Hours - Day Shifts (United States of America)Scheduled Weekly Hours:
40Compensation:
Salary Range: $34.50 - $57.00Union Position:
NoDepartment Details
The Computational Bioinformatics department is involved in captivating projects that span both clinical and research domains, all centered around precision medicine in patient care. These projects require collaborative work with cross-functional teams to develop a comprehensive approach to project implementation. The clinical projects involve implementing genetic testing panels that are directly applicable to patient care, while the research projects further Imagenetics’ goal of advancing education, knowledge, and research in the field of genomics.
The Bioinformatics team works as data analysts, pipeline engineers and data scientists and wear multiple hats throughout.Summary
Provides support in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, infamome, transcriptome, epigenome, and genome, as well as the integration of such with electronic medical record platforms. Possesses proven academic track record of innovation in one or more of these areas.Job Description
The computational and database systems developed by the application will be used to gather, generate, and track patient data and develop medically actionable hypothesis. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. Establishes data analysis plans for each project, project tracking, outcome monitoring, statistical validation and analysis. and manuscript generation. Understands bioinformatics data format, tools, and analytical approaches. Conducts gene pathway analysis. Understands data and where/how it is stored. Writes standard operating procedures (SOPs) for clinical test and writes out valid documentation. Programming for analysis of data. Develops computational services, takes genetic test results and runs quality analysis, then generates report to reporting platform to be reviewed and sign off by at the lab. Statistical validation and analysis. Assists in determining the required statistical analysis or finds and/or creates new analysis. Develops ways to analyze gene expression data picked up from publicly available sources. Identifies what algorithms best analyze the dataProvide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.Critically evaluate existing bioinformatics tools and statistical learning methods to best gain insights from experimental and production data, developing new methods as necessary. Ensure data integrity, traceability, accuracy, and security throughout the analysis pipeline. Implement analysis pipelines using software engineering best practices (code review, version control, automated testing)Interfaces with various stakeholders including Research and laboratory professionals. Present results in written or oral reports for computational biologists, molecular biologists, clinicians, and research collaborators. Understands best practices for data management especially large sets of genomic data. Enhance, maintain, and support established NGS pipelines and workflows for clinical applications. Analyze and visualize laboratory and other clinical data using established data analysis methods and newly developed toolsQualifications
Master’s in Bioinformatics, Biostatistics or Biomedical engineering or a Ph.D. in a related math or science field is required.
Experience in bioinformatics or closely related field is required including demonstrated experience in next generation sequence analysis. Experience with electronic medical record (EMR) APIs and interfaces and movement of data out of and into EMRs is desirable. Experience in programming Python, Perl, R, Ruby and Java is desirable. Experience with the integration and management of multiple data sources, workflows, and enabling integrated management of and reporting on those data and process through graphical user interfaces is desirable. Preference will be given to those individuals with expertise in genetic and/or epigenetic analyses and medical and/or research informatics experience. Proven track record in analyzing, interpreting, and modeling biological data, including next-generation sequencing data, using scripting languages and statistics software packages for data manipulation, analysis, and visualization.Experience using statistical and machine learning methods as applied to molecular biology and genomics.Proficient in using a wide range of bioinformatics tools and resources for genomics and sequence analysis.Experience deploying automated analysis pipelines using cloud computing resources.
If applicant’s Master’s or Ph.D. requires licensure, certification, or registration, this must be achieved or eligibility and timeline for achievement is agreed upon before hire.Sanford is an EEO/AA Employer M/F/Disability/Vet.
If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-949-5678 or send an email to .
Originally posted on Himalayas