Job ID:
Job date: 2018-05-08
End Date: 2018-07-07
Company : University of Minnesota Country : United States Role : Research Scientist
Job date: 2018-05-08
End Date: 2018-07-07
Company : University of Minnesota Country : United States Role : Research Scientist
Job Description:
Summary of Position: Seeking a talented and highly motivated scientist to work with an enthusiastic team of leading experts in the exciting and expanding areas of chemical exposures including DNA adductomics, exposomics, and metabolomics to develop, optimize, and implement mass spectrometry data analysis pipelines and analytical tools that enable comprehensive DNA damaging agents, their adduction products to DNA and protein, and profiling for cancer biology research and clinical applications. This is a great opportunity for computational scientist to develop novel algorithm and applications in this interdisciplinary field to advance cancer research. Primary Responsibilities and Duties:
Additional Info:
About the Department The Masonic Cancer Center creates a collaborative research environment focused on the causes, prevention, detection, and treatment of cancer; applying that knowledge to improve quality of life for patients and survivors; and sharing its discoveries with other scientists, students, professionals, and the community. Founded in 1991, the cancer center became a National Cancer Institute designated comprehensive cancer center in 1998, one of only 45 institutions in the United States to hold this designation, which is awarded only to institutions that make ongoing, significant advances in cancer research, treatment, and education. How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Activities" page and uploading documents there. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647). Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu. Background Check Information Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. About the U of M The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.[Click Here to Access the Original Job Post]
Summary of Position: Seeking a talented and highly motivated scientist to work with an enthusiastic team of leading experts in the exciting and expanding areas of chemical exposures including DNA adductomics, exposomics, and metabolomics to develop, optimize, and implement mass spectrometry data analysis pipelines and analytical tools that enable comprehensive DNA damaging agents, their adduction products to DNA and protein, and profiling for cancer biology research and clinical applications. This is a great opportunity for computational scientist to develop novel algorithm and applications in this interdisciplinary field to advance cancer research. Primary Responsibilities and Duties:
- The individual will apply technical expertise in bioinformatics and high-sample data analysis to contribute to the development of adductomics and other exposure biomarkers data management system, analytics process pipeline, and data interpretation and visualization.
- Develop automated methods and software to support large-scale adductomics data analytics and implement analytical tools capable of troubleshooting the technical steps. Process, analyze and interpret large data sets as part of collaborative research projects.
- Evaluate and adapt performance characteristics of published and emerging analytical pipelines for adductomics, metabolomics, and exposomic data analyses
- Mastery of existing commercial software tools (e.g. Compound Discoverer)
- Appropriately document work conducted to allow the preparation of any analytic reports required by the principal investigator of the project, Prepare and present tutorial materials to enable researchers to become self-sufficient in basic analyses. Work independently and prepare timetables, deliverables, and project schedules
Qualifications
Required:- Master or Ph.D. in Bioinformatics, Computational Biology, Computer Science or related computational fields with 1 or more years of research training.
- Fluency in programming and scripting languages is required (examples include Python, R, Perl, Matlab, C++, Java, XML).
- Experience in developing algorithms for analysis of biological data.
- A track record of achievement and publications in the academic setting.
- Excellent teamwork, time management and organizational skills. Good communication skills with PIs and staff is a must.
- Experience in algorithm development for analysis of mass spectrometry data is highly desirable.
- Experience in algorithm/software development and evaluation of existing software tools, including a working understanding of analytics workflows for data generated via modern mass spectrometry, is highly desirable.
- Strong scientific understanding of cell biology, biochemistry, or background in proteomics is desirable. Prior data analysis and understanding of mass spectrometry and biomarkers are also highly desirable.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- M.Sc. or higher Degree in Computer Science
Skills :
- Biochemistry
- Cell Biology
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Software Design
Areas :
Additional Info:
About the Department The Masonic Cancer Center creates a collaborative research environment focused on the causes, prevention, detection, and treatment of cancer; applying that knowledge to improve quality of life for patients and survivors; and sharing its discoveries with other scientists, students, professionals, and the community. Founded in 1991, the cancer center became a National Cancer Institute designated comprehensive cancer center in 1998, one of only 45 institutions in the United States to hold this designation, which is awarded only to institutions that make ongoing, significant advances in cancer research, treatment, and education. How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Activities" page and uploading documents there. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647). Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu. Background Check Information Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. About the U of M The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.[Click Here to Access the Original Job Post]