Job ID:
Job date: 2018-05-13
End Date: 2018-07-12
Company : University of Michigan Country : United States Role : Programmer
Job date: 2018-05-13
End Date: 2018-07-12
Company : University of Michigan Country : United States Role : Programmer
Job Description:
The Michigan Center for Translational Pathology (MCTP) is seeking a bioinformatician/computational biologist to work with our functional and clinical genomics research groups. This position will be centered on contributing advanced data analyses to interdisciplinary research projects, including: implementing algorithms for genomic analyses, developing computational workflows, and building visualization tools. As part of a dynamic team, the position will develop and apply advanced computational techniques to learn about the underlying biology and to guide experimental work. Responsibilities: The successful candidate should be comfortable analyzing large data sets, have experience in applying computational techniques and algorithms on transcriptomic and genomic data from cancer and normal tissue samples as well as have experience with building bioinformatics pipelines for analyzing RNA sequencing samples. In addition, the candidate should have experience with software development and should possess strong interpersonal and communication skills. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets. Proficiency in utilizing and integrating data from an array of public resources such as ENCODE, TCGA or COSMIC and ability to synthesize and present conclusions from complex analyses in a clear and visually compelling way will be paramount for this role. The ideal candidate should hold a degree in bioinformatics, computational biology, biophysics, or have equivalent work experience. Candidates with degrees in other quantitative disciplines such as statistics, physics, data science, will also be considered if they demonstrate experience in the analysis of large data sets. The successful candidate should have the ability to multi-task, prioritize efforts, and execute independently- and collaboratively-developed ideas in a fast-paced environment. Required Qualifications:
Additional Info:
Work Schedule: M-F, 8:00-5:00 Work Locations: Rogel Cancer Center Additional Information MCTP employs genomic, proteomic, and bioinformatic approaches on clinical bio-specimens to identify novel cancer biomarkers and therapeutic targets. The mission of the Center is to facilitate the discovery, validation, and implementation of candidate target genes/proteins in cancer diagnosis, prognosis, and therapy. The Center employs a multi disciplinary approach, engaging talent from diverse disciplines ranging from medicine, pathology, bioinformatics, biostatistics, engineering, cytogenetics, and molecular therapeutics. 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.[Click Here to Access the Original Job Post]
The Michigan Center for Translational Pathology (MCTP) is seeking a bioinformatician/computational biologist to work with our functional and clinical genomics research groups. This position will be centered on contributing advanced data analyses to interdisciplinary research projects, including: implementing algorithms for genomic analyses, developing computational workflows, and building visualization tools. As part of a dynamic team, the position will develop and apply advanced computational techniques to learn about the underlying biology and to guide experimental work. Responsibilities: The successful candidate should be comfortable analyzing large data sets, have experience in applying computational techniques and algorithms on transcriptomic and genomic data from cancer and normal tissue samples as well as have experience with building bioinformatics pipelines for analyzing RNA sequencing samples. In addition, the candidate should have experience with software development and should possess strong interpersonal and communication skills. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets. Proficiency in utilizing and integrating data from an array of public resources such as ENCODE, TCGA or COSMIC and ability to synthesize and present conclusions from complex analyses in a clear and visually compelling way will be paramount for this role. The ideal candidate should hold a degree in bioinformatics, computational biology, biophysics, or have equivalent work experience. Candidates with degrees in other quantitative disciplines such as statistics, physics, data science, will also be considered if they demonstrate experience in the analysis of large data sets. The successful candidate should have the ability to multi-task, prioritize efforts, and execute independently- and collaboratively-developed ideas in a fast-paced environment. Required Qualifications:
- Fluency in understanding code written in multiple languages including C/C++, Java, Python and R. Substantial expertise in one or more of Python, R, C/C++, or Java 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)
- Master’s degree in computational biology, a related field, or equivalent experience plus 3-5 years systems/analysis experience in a business environment.
- Experience with Next Generation sequencing data, including functional genomic assays (e.g. RNA-Seq, ChIP-seq, DNA methylation, single-cell RNA seq).
- Experience with standard bioinformatics software tools and packages e.g. Bioconductor
- 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 with juggling multiple deadlines.
- A strong publication record and some presentation experience
Requeriments :
Skills :
- Biochemistry
- Bioinformatics
- Cell Biology
- Cloud Computing
- Genetics
- genomic
- JavaScript
- Lunix/Unix
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in R
- RNA-seq
- Shell scripting
- Software Design
- Statistics
- Transcriptomics
- Version Control
Areas :
Additional Info:
Work Schedule: M-F, 8:00-5:00 Work Locations: Rogel Cancer Center Additional Information MCTP employs genomic, proteomic, and bioinformatic approaches on clinical bio-specimens to identify novel cancer biomarkers and therapeutic targets. The mission of the Center is to facilitate the discovery, validation, and implementation of candidate target genes/proteins in cancer diagnosis, prognosis, and therapy. The Center employs a multi disciplinary approach, engaging talent from diverse disciplines ranging from medicine, pathology, bioinformatics, biostatistics, engineering, cytogenetics, and molecular therapeutics. 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.[Click Here to Access the Original Job Post]