Job Description:
This assignment will focus on conducting genetic studies of MS in our clinical trial data. Learn a wide variety of human genetics software and analysis techniques. This is a January–June 2018 co-op (40hrs/week) assignment based in Cambridge, MA. Position Summary This co-op assignment is with Biogen’s Statistical Genetics & Genetic Epidemiology team, focused on multiple sclerosis (MS). The team is under the Computational Biology & Genomics team and primarily supports Biogen’s Research & Early Development function to identify and prioritize drug targets, as well as identify genetic markers for patient stratification. This assignment will focus on conducting genetic studies of MS in our clinical trial data. Through this co-op assignment, the student will have the opportunity to learn a wide variety of human genetics software and analysis techniques, including: • Conducting human leukocyte antigen (HLA) and genome-wide association studies for continuous and binary phenotypes in multiple sclerosis cases (linear and logistic regression using R or PLINK software) • Meta-analysis • Creating and testing genetic risk scores based on common genetic variation in multiple sclerosis patients and healthy controls • Mendelian randomization analysis Key Responsibilities • Push forward a large genetic analysis of MS clinical trial data • Generate publication quality tables and plots, along with writing a summary report of findings • Set up an analysis pipeline for Mendelian randomization studies
Additional Info:
Co-op with Biogen’s Statistical Genetics & Genetic Epidemiology team, focused on multiple sclerosis (MS). The team is part of Computational Biology & Genomics and primarily supports Biogen’s Research & Early Development function to identify and prioritize drug targets, as well as identify genetic markers for patient stratification.[Click Here to Access the Original Job Post]
This assignment will focus on conducting genetic studies of MS in our clinical trial data. Learn a wide variety of human genetics software and analysis techniques. This is a January–June 2018 co-op (40hrs/week) assignment based in Cambridge, MA. Position Summary This co-op assignment is with Biogen’s Statistical Genetics & Genetic Epidemiology team, focused on multiple sclerosis (MS). The team is under the Computational Biology & Genomics team and primarily supports Biogen’s Research & Early Development function to identify and prioritize drug targets, as well as identify genetic markers for patient stratification. This assignment will focus on conducting genetic studies of MS in our clinical trial data. Through this co-op assignment, the student will have the opportunity to learn a wide variety of human genetics software and analysis techniques, including: • Conducting human leukocyte antigen (HLA) and genome-wide association studies for continuous and binary phenotypes in multiple sclerosis cases (linear and logistic regression using R or PLINK software) • Meta-analysis • Creating and testing genetic risk scores based on common genetic variation in multiple sclerosis patients and healthy controls • Mendelian randomization analysis Key Responsibilities • Push forward a large genetic analysis of MS clinical trial data • Generate publication quality tables and plots, along with writing a summary report of findings • Set up an analysis pipeline for Mendelian randomization studies
Qualifications
Qualifications: To participate in the Biogen Co-op Program, students must meet the following eligibility criteria: • Legal authorization to work in the U.S. • Enrollment in a full-time undergraduate or graduate program, returning to the academic program following Biogen Co-op assignment • Minimum grade point average of 3.2 preferred • At least 18 years of age prior to the scheduled start date • Completed at least one year of undergraduate studies Required for this co-op: • Experience with statistical software (e.g. R, SAS or MATLAB) • Programming / scripting skills (e.g. Perl, Python, UNIX Shell or Java) • Outstanding communication & teamwork skills • Available for full-time employment from January to June Preferred qualifications: • Experience with Mendelian randomization analysis (MR Base) and genetic risk scores • Experienced analyzing human genetic data (DNA) & testing for association with complex disease • Experience with statistical genetics software (e.g. PLINK) • Experience using large-scale genetic data from academic collaborations, public-private partnerships and/or clinical trials • Experience with linear regression and logistic regression analysis • Experience with classical human leukocyte antigen (HLA) allele imputation software (e.g. HIBAG, SNP2HLA or HLA*IMP) • Experience with genome-wide SNP genotype imputation (e.g. IMPUTE, MACH or BEAGLE) • Experience with principal components analysis (e.g. Eigensoft) Education: Current graduate student in statistical genetics, genetic epidemiology, human genetics, biostatistics, computational biology, computational genetics, computer science or bioinformatics. PhD student preferred. Employment Category:Full-Time Regular Experience Level: Internship or Co-OpRequeriments :
Skills :
- Genetics
- Lunix/Unix
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Programming in SAS
- Shell scripting
Areas :
Additional Info:
Co-op with Biogen’s Statistical Genetics & Genetic Epidemiology team, focused on multiple sclerosis (MS). The team is part of Computational Biology & Genomics and primarily supports Biogen’s Research & Early Development function to identify and prioritize drug targets, as well as identify genetic markers for patient stratification.[Click Here to Access the Original Job Post]