Job Description:
Statistical Geneticist, Senior Key Role: Maintain responsibility for working closely within a multi-functional team to maintain scientific helpdesk office hours during business hours. Provide recommendations for study design, statistical and computational methodologies, and analysis tools. Document best practices and methods for genomic analysis. Develop graphical summaries of available data. Document all issue requests in a ticketing system. Basic Qualifications: -Experience with common open source genomic analysis tools, including PLINK, Eigensoft, and Impute2 -Knowledge of biostatistics and quantitative skills -Knowledge of common programming languages, including Perl, Python, R, and SAS -Ability to comprehend scientific literature, analytic methods, and their limitations -Ability to obtain a security clearance -MA or MS degree in Statistical Genetics, Genetic Epidemiology, Biostatistics, or Bioinformatics and 10 years of experience with genome-phenome research study or PhD degree in Statistical Genetics, Genetic Epidemiology, Biostatistics, or Bioinformatics and 5 years of experience with genome-phenome research study Additional Qualifications: -Experience with programming within a UNIX or Linux environment -Experience with data formats and analysis tools for whole exome sequencing or whole genome sequencing -Experience in working with controlled vocabularies and conducting large-scale PheWAS analysis -Experience with rare variant tests, including SKAT -Experience with array-based analysis, gene expression analysis, machine learning methods, data mining, and statistical modeling -Experience with Microsoft Office suite of products, including Excel spreadsheets, PowerPoint, Word Documents, and Project -Possession of excellent oral and written communication skills to clearly and concisely communicate complex concepts to clients, researchers, and onsite staff Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Additional Info:
Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering and innovation expertise. Integrating a full range of consulting capabilities, Booz Allen is the one firm that helps clients solve their toughest problems by their side to help them achieve their missions. Booz Allen is committed to delivering results that endure. We are proud of our diverse environment, EOE, M/F/Disability/Vet. [Click Here to Access the Original Job Post]
Statistical Geneticist, Senior Key Role: Maintain responsibility for working closely within a multi-functional team to maintain scientific helpdesk office hours during business hours. Provide recommendations for study design, statistical and computational methodologies, and analysis tools. Document best practices and methods for genomic analysis. Develop graphical summaries of available data. Document all issue requests in a ticketing system. Basic Qualifications: -Experience with common open source genomic analysis tools, including PLINK, Eigensoft, and Impute2 -Knowledge of biostatistics and quantitative skills -Knowledge of common programming languages, including Perl, Python, R, and SAS -Ability to comprehend scientific literature, analytic methods, and their limitations -Ability to obtain a security clearance -MA or MS degree in Statistical Genetics, Genetic Epidemiology, Biostatistics, or Bioinformatics and 10 years of experience with genome-phenome research study or PhD degree in Statistical Genetics, Genetic Epidemiology, Biostatistics, or Bioinformatics and 5 years of experience with genome-phenome research study Additional Qualifications: -Experience with programming within a UNIX or Linux environment -Experience with data formats and analysis tools for whole exome sequencing or whole genome sequencing -Experience in working with controlled vocabularies and conducting large-scale PheWAS analysis -Experience with rare variant tests, including SKAT -Experience with array-based analysis, gene expression analysis, machine learning methods, data mining, and statistical modeling -Experience with Microsoft Office suite of products, including Excel spreadsheets, PowerPoint, Word Documents, and Project -Possession of excellent oral and written communication skills to clearly and concisely communicate complex concepts to clients, researchers, and onsite staff Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Requeriments :
Skills :
- Biostatistics
- Data Mining
- genomic
- Lunix/Unix
- Machine Learning
- Modeling
- Programing in Python
- Programming in PERL
- Programming in R
- Programming in SAS
Areas :
Additional Info:
Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering and innovation expertise. Integrating a full range of consulting capabilities, Booz Allen is the one firm that helps clients solve their toughest problems by their side to help them achieve their missions. Booz Allen is committed to delivering results that endure. We are proud of our diverse environment, EOE, M/F/Disability/Vet. [Click Here to Access the Original Job Post]