Job ID: R0000283
Job date: 2017-02-25
End Date:
Company : Human Longevity, Inc Country : Role : Research Scientist
Job date: 2017-02-25
End Date:
Company : Human Longevity, Inc Country : Role : Research Scientist
Job Description:
Tasks and Responsibilities: -Develop and apply novel statistical, bioinformatics, and data mining algorithms and applications. -Develop and implement methods for assembling, phasing, annotating and characterizing human genomes at an industrial scale. -Carry out association analyses with sophisticated genotypic, microbiomic, metabolomic, proteomic and phenotypic information. Minimum Qualifications (Must have): -Ph.D in Bioinformatics, Computational Biology, Statistics, Computer Science or closely related fields with a focus on applications of next generation sequencing (NGS). -Strong programming skills, and the ability to design and prototype computational algorithms in C++, Python, R, Java, or C#. -Comfortable in a Linux environment. -Established track record applying innovative methods to drive project success. -Demonstrate outstanding personal initiative and the ability to work effectively as part of a team. -Collaborate with diverse scientists from computational and experimental backgrounds. -Demonstrates excellent verbal and written and communication skills. -Must have excellent familiarity with computational, statistical or mathematical methods. -Prior experience working with large-scale genetics and genomics datasets (Big Data). -Prior experience working in a CLIA lab environment. Preferred Qualifications: -Experience working in cloud environment, Amazon Web Services (AWS) preferred. -2+ years’ experience in a startup organization. -2+ years post-graduate experience. -Publications demonstrating expertise in one or more of the following: assembly, phasing, structural variant identification, SNP calling, genome annotation, or GWAS Working Conditions: -Open office environment -Global environment with multiple sites, which may require work beyond standard business hours -Prolonged periods of sitting, standing, bending and kneeling -Must be able to lift at least 25 pounds
Additional Info:
Human Longevity, Inc. is an equal opportunity employer DISCLAIMER: The information on this description has been designed to indicate the general nature and level of work. It is not designed to be interpreted as a comprehensive inventory of all duties and responsibilities of an employee to this job. [Click Here to Access the Original Job Post]
Tasks and Responsibilities: -Develop and apply novel statistical, bioinformatics, and data mining algorithms and applications. -Develop and implement methods for assembling, phasing, annotating and characterizing human genomes at an industrial scale. -Carry out association analyses with sophisticated genotypic, microbiomic, metabolomic, proteomic and phenotypic information. Minimum Qualifications (Must have): -Ph.D in Bioinformatics, Computational Biology, Statistics, Computer Science or closely related fields with a focus on applications of next generation sequencing (NGS). -Strong programming skills, and the ability to design and prototype computational algorithms in C++, Python, R, Java, or C#. -Comfortable in a Linux environment. -Established track record applying innovative methods to drive project success. -Demonstrate outstanding personal initiative and the ability to work effectively as part of a team. -Collaborate with diverse scientists from computational and experimental backgrounds. -Demonstrates excellent verbal and written and communication skills. -Must have excellent familiarity with computational, statistical or mathematical methods. -Prior experience working with large-scale genetics and genomics datasets (Big Data). -Prior experience working in a CLIA lab environment. Preferred Qualifications: -Experience working in cloud environment, Amazon Web Services (AWS) preferred. -2+ years’ experience in a startup organization. -2+ years post-graduate experience. -Publications demonstrating expertise in one or more of the following: assembly, phasing, structural variant identification, SNP calling, genome annotation, or GWAS Working Conditions: -Open office environment -Global environment with multiple sites, which may require work beyond standard business hours -Prolonged periods of sitting, standing, bending and kneeling -Must be able to lift at least 25 pounds
Requeriments :
Skills :
- Lunix/Unix
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in C#
- Programming in Java
- Programming in R
- Statistics
Areas :
Additional Info:
Human Longevity, Inc. is an equal opportunity employer DISCLAIMER: The information on this description has been designed to indicate the general nature and level of work. It is not designed to be interpreted as a comprehensive inventory of all duties and responsibilities of an employee to this job. [Click Here to Access the Original Job Post]