Job ID: 146775
Job date: 2017-08-30
End Date:
Company : University of Michigan Country : Role : Research Scientist
Job date: 2017-08-30
End Date:
Company : University of Michigan Country : Role : Research Scientist
Job Description:
The Department of Pathology is seeking a statistician to work with our functional and clinical genomics research groups. This position will be centered on contributing advanced statistical analyses to interdisciplinary research projects, including: developing and implementing statistically robust workflows for genomic and transcriptomic next-generation sequencing initiatives including: developing statistically rigorous quality control and normalization algorithms, developing statistically rigorous variant calling and prioritization algorithms, developing robust data visualization approaches and tools, developing integrative statistical approaches to integrate genomic and transcriptomic results, developing statistical approaches to integrate in house and publically available data sets (e.g. TCGA). As part of a dynamic team, the position will develop and apply advanced computational and statistical techniques to learn about the underlying biology of urologic malignancies and to guide experimental work. Additional responsibilities include building flexible, scalable sample tracking tools and statistical analyses for early detection biomarker work (logistic regression models, area under the curve, etc), and producing figures and written text for publications and grant proposals. The successful candidate should be comfortable performing statistical analyses on large large data sets, have experience in software development, and possess strong interpersonal and communication skills. Proficiency in accessing and analyzing data from an array of public resources such as ENCODE, TCGA or COSMIC and present statistical analyses in a clear and visually compelling way will be paramount for this role. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets and communicate these results. Required Qualifications:
Additional Info:
How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Work Locations: CCC 7131 Background Screening Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Mission Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society. Application Deadline Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
The Department of Pathology is seeking a statistician to work with our functional and clinical genomics research groups. This position will be centered on contributing advanced statistical analyses to interdisciplinary research projects, including: developing and implementing statistically robust workflows for genomic and transcriptomic next-generation sequencing initiatives including: developing statistically rigorous quality control and normalization algorithms, developing statistically rigorous variant calling and prioritization algorithms, developing robust data visualization approaches and tools, developing integrative statistical approaches to integrate genomic and transcriptomic results, developing statistical approaches to integrate in house and publically available data sets (e.g. TCGA). As part of a dynamic team, the position will develop and apply advanced computational and statistical techniques to learn about the underlying biology of urologic malignancies and to guide experimental work. Additional responsibilities include building flexible, scalable sample tracking tools and statistical analyses for early detection biomarker work (logistic regression models, area under the curve, etc), and producing figures and written text for publications and grant proposals. The successful candidate should be comfortable performing statistical analyses on large large data sets, have experience in software development, and possess strong interpersonal and communication skills. Proficiency in accessing and analyzing data from an array of public resources such as ENCODE, TCGA or COSMIC and present statistical analyses in a clear and visually compelling way will be paramount for this role. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets and communicate these results. Required Qualifications:
- PhD degree in bioinformatics, biostatistics, human genetics, cancer biology, or a related field is required. 5+ years of work experience in next generation sequencing (NGS)-based data analysis is required.
- Proficiency in all aspects of Ion Torrent DNA and RNA targeted and low-pass whole genome next-generation sequencing data processing, including comprehensive understanding of Torrent Suite coverage analysis, alignment, variant calling, and annotation algorithms and workflows.
- Fluency in understanding code written in scripting or statistical programming languages including Java, Python, Perl, and/or R.
- Proficiency in Perl/Python and R as demonstrated by the ability to develop high-quality scientific programs.
- Practical knowledge of statistical techniques.
- Experience in working on Unix/Linux systems (shell scripting, basic system administration)
- Ability to multi-task, prioritize efforts, and execute independently- and collaboratively-developed ideas in a fast-paced environment.
- Degrees in other quantitative disciplines such as statistics, physics, data science, will also be considered if they demonstrate expertise in the analysis of large genomic and transcriptomic data sets.
- Experience with next generation sequencing data, including functional genomic assays (e.g. DNA-seq, RNA-Seq, ChIP-seq, DNA methylation).
- Experience with standard NGS alignment, variant calling, and variant annotation tools e.g. bwa, FreeBayes,VarScan Annovar
- Experience with standard bioinformatics software tools and packages for analyzing whole-exome, whole-genome, whole-transcriptome, or targeted DNA/RNA sequencing data e.g. GATK suite, Ion Torrent Suite platform, R/Bioconductor
- Experience in development of dynamic and/or publication-quality data visualizations to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2
- Working knowledge of laboratory techniques in molecular biology, cell biology, biochemistry, and genetics.
- A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms.
- Experience building web applications, web services, and user interfaces using standard software development tools: relational databases, version control systems, front-end Javascript.
- Experience in cloud computing (GCE or AWS)
- Experience in software design.
- Experience with Adobe Suite.
- A strong publication record.
- The successful candidate will be able to prioritize and balance multiple projects to meet timelines.
Requeriments :
Skills :
- Biochemistry
- Cell Biology
- Cloud Computing
- DNA sequencing
- Genetics
- genomic
- JavaScript
- Lunix/Unix
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Shell scripting
- Software Design
- Statistics
- Transcriptomics
- Version Control
Additional Info:
How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Work Locations: CCC 7131 Background Screening Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Mission Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society. Application Deadline Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
/ U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.[Click Here to Access the Original Job Post]