Job ID: 3283
Job date: 2015-04-28
End Date:
Company : Regeneron Genetics Center Country : Role : Faculty
Job date: 2015-04-28
End Date:
Company : Regeneron Genetics Center Country : Role : Faculty
Job Description:
Building upon Regeneron's strengths in mouse genetics and genetics-driven drug discovery and development, the Center will specialize in ultra-high-throughput exome sequencing and computational biology; discovery of genotype-phenotype associations through linkage to well-annotated de-identified patient electronic medical records; and validation of discoveries using Regeneron’s VelociGene® technology.
Our interests encompass a breadth of different areas such as Mendelian and family frameworks, large-scale population genetics (both common and rare variants), and gene-gene interactions. Program goals include target discovery, indication discovery, and patient-disease stratification. Objectives include advancing basic science around the world through public sharing of discoveries, providing clinically-valuable insights to physicians and patients of collaborating health-care systems, and identifying novel targets for drug development.
Summary:
Positions are available in our statistical and analytical genetics team that will report to the Head of Analytical Genetics. This team is responsible for the design and interpretation of all genetic studies conducted by the center.
Primary responsibilities will include (i) leading the planning and execution of genetic epidemiology studies, including identifying appropriate study participants in population and family based designs as well as selection and application of appropriate statistical methods for rare and common variant analyses, (ii) interpreting results in the context of basic science and drug target discovery, collaborating closely with translational genetics scientists, and (iii) working with computational biologists and programmers to support development of algorithms and automated pipelines for analysis of NGS data, as well as database administrators to optimize data structures and management for downstream access and analysis.
The ideal candidate will have strong statistical and programming proficiencies with proven expertise in genomic analysis, such as high-throughput whole exome, whole genome, and targeted sequencing data, as well as array based genotype data.
Expertise in association analysis, genome sequence analysis, experimental design and statistical analysis, and experience in genomic analyses, knowledge of online tools and databases for genetic analyses and interpretation is also required.
The position will also require significant cross-functional responsibilities, communicating results and findings to key internal stakeholders and external collaborators.
Responsibilities:
• Evaluate cohorts and research projects for feasibility of genetic studies and building experimental design strategies across a breadth of genetics study designs including multiplex families, trios, population based cohorts for both quantitative trait and case/control designs.
• Perform a variety of statistical genetics analyses of studies for both complex and Mendelian diseases, e.g., family based association studies, genome wide association studies, gene x gene interactions, gene based and pathway based testing.
• Provide expertise in developing workflows and analysis pipelines for projects that involve custom arrays, exome, and/or whole genome sequencing data. Provide statistical genetics expertise required for algorithm development related to variant filtering and annotation.
• Interact with biostatisticians, epidemiologists and clinical scientists to carry out statistical data programming and genetics data analysis.
• Advise other researchers in the design of experiments and the analysis of genetic data.
• Assist in the preparation of scientific presentations, manuscripts, reports, and grant proposals including the preparation of tables, figures, and graphs depicting research results.
Requirements:
• PhD with up to 6 years of experience in Biostatistics, Genetics, Statistics, Genetic epidemiology, Quantitative genetics, Biocomputing, Bioinformatics or related field or Master's Degree with equivalent level of experience in statistical analysis of high throughput genome sequence and genotype data.
• Experience with handling & managing data/software associated with high-throughput instruments for genetics/genomics.
• Excellent oral and written communication skills as well as documented skills in communicating scientific findings.
• Strong work ethic and enthusiasm for collaborative science.
• Experience working independently and in a team environment.
• Ability to present research to both geneticists and non-specialists.
• Statistical knowledge and experience as well as strong background in computer programming.
• Strong knowledge in use of statistical software (e.g. R, SAS, Perl etc.), with ability to perform statistical analysis, interpret, and effectively communicate results.
• Essential skills include experience in statistical genetics, R, Perl/Python, with knowledge of QC and management of large genomic datasets generated by microarrays and high throughput sequencing.
• Facility in developing and applying quantitative strategies to address genetics questions. Documented experience in development of computational algorithms in statistical genetics.
• Competence with high performance Linux/Unix computing environments.
• Strong record of publishing in peer-reviewed journals.
• Fluency in programming (Java, Perl/Python, C, BioPerl in Linux/Unix environment) for applications in computational biology and statistical genetics.
• Fluency with genome databases (particularly those relating to genome annotation, genetic variants, and metabolic pathways) and biological & statistical software packages (such as gene annotation programs, R and Plink, Plink/seq, BCFtools, SKAT) that are relevant for the study of computational genetics and genomics.
• Experience in large-scale analysis of next generation DNA sequencing data (e.g. whole exome and whole genome) as well as array based genotype data.
• Experience communicating clearly and succinctly about quantitative science in both small and large group formats (conferences).
This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron Genetics Center’s unwavering commitment to combining good science & good business.
To all agencies: Please, no phone calls or emails to any employee of Regeneron or the Regeneron Genetics Center about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron or the Regeneron Genetics Center via-email, the internet or in any form and/or method will be deemed the sole property of the Regeneron Genetics Center, unless such search firms/employment agencies were engaged by Regeneron or the Regeneron Genetics Center for this position and a valid agreement with either Regeneron or the Regeneron Genetics Center is in place. In the event a candidate who was submitted outside of the Regeneron or Regeneron Genetics Center agency engagement process is hired, no fee or payment of any kind will be paid.
RGC is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.
Job Information
Position Type: Manager Reference (Job ID number): #3471BR
Start Date: TBD
uration: Full Time
Status: open
Contact Information
Regeneron Genetics Center
http://www.Regeneron.com
How To Apply:Apply URL: Apply online at www. Regeneron.com. Search 3471BR
Additional Info:
[Click Here to Access the Original Job Post]
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Manager, Statistical GeneticsRegeneron Genetics CenterUSA-NY-Tarrytown The Regeneron Genetics Center is a wholly-owned subsidiary of the Company organized to collaborate with health systems and research groups to elucidate, on a large scale, genetic factors that cause or influence a range of human diseases.Building upon Regeneron's strengths in mouse genetics and genetics-driven drug discovery and development, the Center will specialize in ultra-high-throughput exome sequencing and computational biology; discovery of genotype-phenotype associations through linkage to well-annotated de-identified patient electronic medical records; and validation of discoveries using Regeneron’s VelociGene® technology.
Our interests encompass a breadth of different areas such as Mendelian and family frameworks, large-scale population genetics (both common and rare variants), and gene-gene interactions. Program goals include target discovery, indication discovery, and patient-disease stratification. Objectives include advancing basic science around the world through public sharing of discoveries, providing clinically-valuable insights to physicians and patients of collaborating health-care systems, and identifying novel targets for drug development.
Summary:
Positions are available in our statistical and analytical genetics team that will report to the Head of Analytical Genetics. This team is responsible for the design and interpretation of all genetic studies conducted by the center.
Primary responsibilities will include (i) leading the planning and execution of genetic epidemiology studies, including identifying appropriate study participants in population and family based designs as well as selection and application of appropriate statistical methods for rare and common variant analyses, (ii) interpreting results in the context of basic science and drug target discovery, collaborating closely with translational genetics scientists, and (iii) working with computational biologists and programmers to support development of algorithms and automated pipelines for analysis of NGS data, as well as database administrators to optimize data structures and management for downstream access and analysis.
The ideal candidate will have strong statistical and programming proficiencies with proven expertise in genomic analysis, such as high-throughput whole exome, whole genome, and targeted sequencing data, as well as array based genotype data.
Expertise in association analysis, genome sequence analysis, experimental design and statistical analysis, and experience in genomic analyses, knowledge of online tools and databases for genetic analyses and interpretation is also required.
The position will also require significant cross-functional responsibilities, communicating results and findings to key internal stakeholders and external collaborators.
Responsibilities:
• Evaluate cohorts and research projects for feasibility of genetic studies and building experimental design strategies across a breadth of genetics study designs including multiplex families, trios, population based cohorts for both quantitative trait and case/control designs.
• Perform a variety of statistical genetics analyses of studies for both complex and Mendelian diseases, e.g., family based association studies, genome wide association studies, gene x gene interactions, gene based and pathway based testing.
• Provide expertise in developing workflows and analysis pipelines for projects that involve custom arrays, exome, and/or whole genome sequencing data. Provide statistical genetics expertise required for algorithm development related to variant filtering and annotation.
• Interact with biostatisticians, epidemiologists and clinical scientists to carry out statistical data programming and genetics data analysis.
• Advise other researchers in the design of experiments and the analysis of genetic data.
• Assist in the preparation of scientific presentations, manuscripts, reports, and grant proposals including the preparation of tables, figures, and graphs depicting research results.
Requirements:
• PhD with up to 6 years of experience in Biostatistics, Genetics, Statistics, Genetic epidemiology, Quantitative genetics, Biocomputing, Bioinformatics or related field or Master's Degree with equivalent level of experience in statistical analysis of high throughput genome sequence and genotype data.
• Experience with handling & managing data/software associated with high-throughput instruments for genetics/genomics.
• Excellent oral and written communication skills as well as documented skills in communicating scientific findings.
• Strong work ethic and enthusiasm for collaborative science.
• Experience working independently and in a team environment.
• Ability to present research to both geneticists and non-specialists.
• Statistical knowledge and experience as well as strong background in computer programming.
• Strong knowledge in use of statistical software (e.g. R, SAS, Perl etc.), with ability to perform statistical analysis, interpret, and effectively communicate results.
• Essential skills include experience in statistical genetics, R, Perl/Python, with knowledge of QC and management of large genomic datasets generated by microarrays and high throughput sequencing.
• Facility in developing and applying quantitative strategies to address genetics questions. Documented experience in development of computational algorithms in statistical genetics.
• Competence with high performance Linux/Unix computing environments.
• Strong record of publishing in peer-reviewed journals.
• Fluency in programming (Java, Perl/Python, C, BioPerl in Linux/Unix environment) for applications in computational biology and statistical genetics.
• Fluency with genome databases (particularly those relating to genome annotation, genetic variants, and metabolic pathways) and biological & statistical software packages (such as gene annotation programs, R and Plink, Plink/seq, BCFtools, SKAT) that are relevant for the study of computational genetics and genomics.
• Experience in large-scale analysis of next generation DNA sequencing data (e.g. whole exome and whole genome) as well as array based genotype data.
• Experience communicating clearly and succinctly about quantitative science in both small and large group formats (conferences).
This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron Genetics Center’s unwavering commitment to combining good science & good business.
To all agencies: Please, no phone calls or emails to any employee of Regeneron or the Regeneron Genetics Center about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron or the Regeneron Genetics Center via-email, the internet or in any form and/or method will be deemed the sole property of the Regeneron Genetics Center, unless such search firms/employment agencies were engaged by Regeneron or the Regeneron Genetics Center for this position and a valid agreement with either Regeneron or the Regeneron Genetics Center is in place. In the event a candidate who was submitted outside of the Regeneron or Regeneron Genetics Center agency engagement process is hired, no fee or payment of any kind will be paid.
RGC is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.
Job Information
Position Type: Manager Reference (Job ID number): #3471BR
Start Date: TBD
uration: Full Time
Status: open
Contact Information
Regeneron Genetics Center
http://www.Regeneron.com
How To Apply:Apply URL: Apply online at www. Regeneron.com. Search 3471BR
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]