Job ID: 498017
Job date: 2017-04-26
End Date:
Company : Pacific Northwest National Laboratory Country : Role : Postdoc
Job date: 2017-04-26
End Date:
Company : Pacific Northwest National Laboratory Country : Role : Postdoc
Job Description:
The Plant Pathology department is seeking to hire a Postdoctoral Fellow for Dr. Jesse Poland's lab. This person will be expected to independently design and implement complex genomics research experiments using the latest statistical modeling and machine learning approaches. The position will require synthesis of the current state-of-the-art in the discipline and a comprehensive understanding of appropriate experimental design and subsequent analysis. Research results must be assessed and analyzed in a cohesive and coherent manner, and presented to stakeholders and the scientific community. The Post Doc is expected to lead the preparation and publication of peer-review manuscripts that present research findings from the project. Independently design and implement complex genomics research experiments using the latest statistical modeling and machine learning approaches. The position will require synthesis of the current state-of-the-art in the discipline and a comprehensive understanding of appropriate experimental design and subsequent analysis. Research results must be assessed and analyzed in a cohesive and coherent manner, and presented to stakeholders and the scientific community. The postdoc is expected to lead the preparation and publication of peer-review manuscripts that present research findings from the project. Required Minimum Qualifications: 1. In-depth knowledge and experience with analysis of whole-genome and reduced representation sequencing 2. Experience with genomic prediction models 3. Strong proficiency in data management and programming with some combination of Java, Python, Perl/BioPerl, C/C++ and the R statistical package 4. Experience building and deploying applications on Linux cluster environment 5. Familiarity with database development, design and optimization 6. Experience developing and implementing statistical modeling for whole-genome prediction and trait association analysis 7. Demonstrated experience creating high-quality, peer-reviewed manuscripts 8. Experience with code version control (Git) and program/code development in collaborative environment 9. Excellent interpersonal, verbal and written skills 10. Strong commitment to expanding and fostering diversity 11. PhD in plant genetics, breeding, statistics, bioinformatics or closely related discipline Preferred Qualifications: -Experience with wheat genomics -Experience with field experiments in applied breeding program -Physical Activities and Environmental Conditions: -Use of computers
Additional Info:
Information about the Department: www.plantpath.ksu.edu Diversity and Inclusion: Kansas State University embraces diversity, and promotes inclusion in every sector of the institution. The university established the Office of Diversity, led by the associate vice president for diversity and a dedicated staff. Additionally, each college has a designated Diversity Point Person to provide insight and guidance. Kansas State University received the prestigious Higher Education Excellence in Diversity, or HEED, award from Insight Into Diversity magazine for the past three years. Multicultural students account for 15 percent of our student population, a university record and continuing trend. Special Instructions to Applicants: Upload a cover letter and CV to PageUp Screening of Applications Begins: Immediately Salary Range / Pay Rate: $50,000-$65,000 Equal Employment Opportunity: Kansas State University is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees. Equal Employment Opportunity is the Law. Background Screening Statement: In connection with your application for employment, Kansas State University may procure a Background Screen on you as part of the process of considering your candidacy as an employee. [Click Here to Access the Original Job Post]
The Plant Pathology department is seeking to hire a Postdoctoral Fellow for Dr. Jesse Poland's lab. This person will be expected to independently design and implement complex genomics research experiments using the latest statistical modeling and machine learning approaches. The position will require synthesis of the current state-of-the-art in the discipline and a comprehensive understanding of appropriate experimental design and subsequent analysis. Research results must be assessed and analyzed in a cohesive and coherent manner, and presented to stakeholders and the scientific community. The Post Doc is expected to lead the preparation and publication of peer-review manuscripts that present research findings from the project. Independently design and implement complex genomics research experiments using the latest statistical modeling and machine learning approaches. The position will require synthesis of the current state-of-the-art in the discipline and a comprehensive understanding of appropriate experimental design and subsequent analysis. Research results must be assessed and analyzed in a cohesive and coherent manner, and presented to stakeholders and the scientific community. The postdoc is expected to lead the preparation and publication of peer-review manuscripts that present research findings from the project. Required Minimum Qualifications: 1. In-depth knowledge and experience with analysis of whole-genome and reduced representation sequencing 2. Experience with genomic prediction models 3. Strong proficiency in data management and programming with some combination of Java, Python, Perl/BioPerl, C/C++ and the R statistical package 4. Experience building and deploying applications on Linux cluster environment 5. Familiarity with database development, design and optimization 6. Experience developing and implementing statistical modeling for whole-genome prediction and trait association analysis 7. Demonstrated experience creating high-quality, peer-reviewed manuscripts 8. Experience with code version control (Git) and program/code development in collaborative environment 9. Excellent interpersonal, verbal and written skills 10. Strong commitment to expanding and fostering diversity 11. PhD in plant genetics, breeding, statistics, bioinformatics or closely related discipline Preferred Qualifications: -Experience with wheat genomics -Experience with field experiments in applied breeding program -Physical Activities and Environmental Conditions: -Use of computers
Requeriments :
Skills :
- Breeding
- Database design
- genomic
- Lunix/Unix
- Modeling
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
Areas :
Additional Info:
Information about the Department: www.plantpath.ksu.edu Diversity and Inclusion: Kansas State University embraces diversity, and promotes inclusion in every sector of the institution. The university established the Office of Diversity, led by the associate vice president for diversity and a dedicated staff. Additionally, each college has a designated Diversity Point Person to provide insight and guidance. Kansas State University received the prestigious Higher Education Excellence in Diversity, or HEED, award from Insight Into Diversity magazine for the past three years. Multicultural students account for 15 percent of our student population, a university record and continuing trend. Special Instructions to Applicants: Upload a cover letter and CV to PageUp Screening of Applications Begins: Immediately Salary Range / Pay Rate: $50,000-$65,000 Equal Employment Opportunity: Kansas State University is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees. Equal Employment Opportunity is the Law. Background Screening Statement: In connection with your application for employment, Kansas State University may procure a Background Screen on you as part of the process of considering your candidacy as an employee. [Click Here to Access the Original Job Post]