Job ID:
Job date: 2017-01-13
End Date:
Company : Good Start Genetics Country : Role : Research Scientist
Job date: 2017-01-13
End Date:
Company : Good Start Genetics Country : Role : Research Scientist
Job Description:
Good Start Genetics, Inc. is seeking a highly motivated Bioinformatics Scientist II with expertise in statistical and computational techniques to develop novel computational approaches for analysis of next generation DNA sequencing data. The individual filling this position will serve as an integral developer of the computational/analytic tools associated with new high-throughput genetic technologies under development. He or she will work as part of cross-functional teams composed of engineers and experimental and computational biologists. Duties and Responsibilities: • Independently develop novel approaches to analyzing genomic data. • Utilize statistical and machine learning techniques to aide in the interpretation of quantitative genomic data. • Build robust and scalable software (e.g. pipelines) to process large genomic data sets both locally on an HPC cluster and in the cloud. • Work closely with more experimentally focused scientists and clinical geneticists to help push forward key company objectives. • Apply rigorous scientific and engineering standards to your specialized knowledge and skills. Knowledge, Skills, and Abilities: • Education (PhD) and experience in a quantitatively focused field (e.g. bioinformatics, computational biology, computer science, bioengineering, statistics, or mathematics), or commensurate experience with a proven ability to function in a role with this level of responsibility. • Strong command of statistics and probability and their application to quantitative analyses. • 3+ years of programming experience with both compiled (Java preferred) and interpreted (Python strongly preferred) languages. Experience with other languages is a plus. • Experience and comfort working in a Linux/Unix environment. • Experience building software that can run both locally and on the cloud (AWS EC2 preferred). • Comfort with best practices in software engineering a strong plus. • Proven track record analyzing next-generation DNA sequencing data or performing genomic analyses a strong plus. • Demonstrated ability to glean novel/key features from large data sets. • Experience performing quantitative analyses on large genomic datasets. Willingness to independently analyze results from a next-generation DNA sequencer and help molecular biologists plan follow-on experiments. •Understanding of molecular biology and human genetics / genomics highly desirable. • Desire to work in a fast-paced, dynamic environment. • Proven teamwork and leadership skills. High creativity. Excellent communication skills and attention to detail. • Statistical/population genetics experience a plus. • Industry or production next generation DNA sequencing experience (e.g., product development and commercialization) a plus. • Experience with sequence variant annotation considered a plus.
Additional Info:
Compensation: Competitive salary, commensurate with experience, and a benefits package that includes: Medical, Dental, Life and Disability insurance, 401(k) plan, bonus plan, paid vacation and holidays. To Apply: Be part of a team providing best in class patient care, one test at a time, by submitting your resume and cover letter. Good Start Genetics, Inc. is an Equal Opportunity Employer.[Click Here to Access the Original Job Post]
Good Start Genetics, Inc. is seeking a highly motivated Bioinformatics Scientist II with expertise in statistical and computational techniques to develop novel computational approaches for analysis of next generation DNA sequencing data. The individual filling this position will serve as an integral developer of the computational/analytic tools associated with new high-throughput genetic technologies under development. He or she will work as part of cross-functional teams composed of engineers and experimental and computational biologists. Duties and Responsibilities: • Independently develop novel approaches to analyzing genomic data. • Utilize statistical and machine learning techniques to aide in the interpretation of quantitative genomic data. • Build robust and scalable software (e.g. pipelines) to process large genomic data sets both locally on an HPC cluster and in the cloud. • Work closely with more experimentally focused scientists and clinical geneticists to help push forward key company objectives. • Apply rigorous scientific and engineering standards to your specialized knowledge and skills. Knowledge, Skills, and Abilities: • Education (PhD) and experience in a quantitatively focused field (e.g. bioinformatics, computational biology, computer science, bioengineering, statistics, or mathematics), or commensurate experience with a proven ability to function in a role with this level of responsibility. • Strong command of statistics and probability and their application to quantitative analyses. • 3+ years of programming experience with both compiled (Java preferred) and interpreted (Python strongly preferred) languages. Experience with other languages is a plus. • Experience and comfort working in a Linux/Unix environment. • Experience building software that can run both locally and on the cloud (AWS EC2 preferred). • Comfort with best practices in software engineering a strong plus. • Proven track record analyzing next-generation DNA sequencing data or performing genomic analyses a strong plus. • Demonstrated ability to glean novel/key features from large data sets. • Experience performing quantitative analyses on large genomic datasets. Willingness to independently analyze results from a next-generation DNA sequencer and help molecular biologists plan follow-on experiments. •Understanding of molecular biology and human genetics / genomics highly desirable. • Desire to work in a fast-paced, dynamic environment. • Proven teamwork and leadership skills. High creativity. Excellent communication skills and attention to detail. • Statistical/population genetics experience a plus. • Industry or production next generation DNA sequencing experience (e.g., product development and commercialization) a plus. • Experience with sequence variant annotation considered a plus.
Requeriments :
Skills :
- DNA sequencing
- Genetics
- genomic
- HPC
- Lunix/Unix
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Population Genetics
- Programing in Python
- Programing Skills
- Programming in Java
- Statistics
Areas :
Additional Info:
Compensation: Competitive salary, commensurate with experience, and a benefits package that includes: Medical, Dental, Life and Disability insurance, 401(k) plan, bonus plan, paid vacation and holidays. To Apply: Be part of a team providing best in class patient care, one test at a time, by submitting your resume and cover letter. Good Start Genetics, Inc. is an Equal Opportunity Employer.[Click Here to Access the Original Job Post]