Job ID: 663061752
Job date: 2018-04-17
End Date: 2018-06-17
Company : Argonne National Laboratory Country : United States Role : Technician
Job date: 2018-04-17
End Date: 2018-06-17
Company : Argonne National Laboratory Country : United States Role : Technician
Job Description:
Applies machine learning techniques to research problems in the life sciences with an emphasis on using computational approaches for detecting sequence patterns in a variety of contexts including cancer and metagenomic datasets. Problems typically involve the construction of computational models for phenotype prediction from genomic sequence data and other omics data. Applies computational models on new experimental data, provides measures of uncertainty, and participates in interdisciplinary discussions aimed at the design of new experiments. Reports on results of research including publishing scholarly papers in scientific journals, giving presentations at symposia, conferences, meetings, and seminars. Participates in the preparation of reports and proposals required by funding agencies to obtain and continue funding support. Position Requirements:
Additional Info:
As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law. Argonne National Laboratory, one of the U.S. Department of Energy's national laboratories for science and engineering research, employs 3,400 employees, including 1,400 scientists and engineers, three-quarters of whom hold doctoral degrees. Argonne's annual operating budget of around $760 million supports upwards of 200 research projects. Since 1990, Argonne has worked with more than 600 companies and numerous federal agencies and other organizations. Argonne's mission is to apply a unique mix of world-class science, engineering and user facilities to deliver innovative research and technologies. We create new knowledge that addresses the most important scientific and societal needs of our nation. We actively seek opportunities to work with industry to transfer our technologies to the marketplace through licensing, joint research and many other collaborative relationships. Argonne is managed by UChicago Argonne, LLC, for the U.S. Department of Energy's Office of Science. We are located on 1,500 acres (6.9 sq. km) in southwest DuPage County, Illinois 25 miles (40 km) southwest of Chicago. The site is completely encircled by the beautiful Waterfall Glen Forest Preserve. [Click Here to Access the Original Job Post]
Applies machine learning techniques to research problems in the life sciences with an emphasis on using computational approaches for detecting sequence patterns in a variety of contexts including cancer and metagenomic datasets. Problems typically involve the construction of computational models for phenotype prediction from genomic sequence data and other omics data. Applies computational models on new experimental data, provides measures of uncertainty, and participates in interdisciplinary discussions aimed at the design of new experiments. Reports on results of research including publishing scholarly papers in scientific journals, giving presentations at symposia, conferences, meetings, and seminars. Participates in the preparation of reports and proposals required by funding agencies to obtain and continue funding support. Position Requirements:
- Bioinformatics analysis techniques and tools
- Fluency in python or perl
- Familiarity with command line
- Minimum bachelor’s degree in bioinformatics, cs, or biology
- Experience processing NGS sequence data
- Familiar with bacterial genomics
- Demonstrated work in microbiology a plus, but not required
- Strong knowledge of machine learning and / or statistics required
- Knowledge of genomics and gene structure, transcription and translation
- Strong analytical and problem-solving skills required
- Some understanding of computational algorithms to support DNA sequence alignment, small nucleotide polymorphism detection, gene expression quantification and/or small molecule (drug) structure
- Experience working on protected health information including electronic health records
- Knowledge of regulatory policies and procedures surrounding electronic protected health information required
- Ability to think independently and innovatively to develop exceptional technical solutions required
- Ability to write research publications required
- Attention to detail required.- Organizational skills required
- Verbal and written communication skills required
- Ability to work independently and as part of a team required
- Experience in physiology and reconciliation of genotype and experimentally determined phenotype is a plus
- Considerable collaborative skills, including the ability to interact well with external collaborators preferred
- United States citizenship is a requirement
Requeriments :
Skills :
- Bioinformatics
- DNA sequencing
- genomic
- Machine Learning
- Microbiology
- Next Generation Sequencing
- Programing in Python
- Programming in PERL
- Statistics
Areas :
Additional Info:
As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law. Argonne National Laboratory, one of the U.S. Department of Energy's national laboratories for science and engineering research, employs 3,400 employees, including 1,400 scientists and engineers, three-quarters of whom hold doctoral degrees. Argonne's annual operating budget of around $760 million supports upwards of 200 research projects. Since 1990, Argonne has worked with more than 600 companies and numerous federal agencies and other organizations. Argonne's mission is to apply a unique mix of world-class science, engineering and user facilities to deliver innovative research and technologies. We create new knowledge that addresses the most important scientific and societal needs of our nation. We actively seek opportunities to work with industry to transfer our technologies to the marketplace through licensing, joint research and many other collaborative relationships. Argonne is managed by UChicago Argonne, LLC, for the U.S. Department of Energy's Office of Science. We are located on 1,500 acres (6.9 sq. km) in southwest DuPage County, Illinois 25 miles (40 km) southwest of Chicago. The site is completely encircled by the beautiful Waterfall Glen Forest Preserve. [Click Here to Access the Original Job Post]