Job Description:
External Posting Title
Intern: Computational Biologist
Job Description
This is a full-time internship from June-August 2015.
This individual will work closely with the computational biology/genomics group, data sciences team and key stakeholders to understand immediate requirements in analyzing large scale genomic datasets. The intern will identify key internal and external datasets to integrate and validate approaches to predict putative regulators in transcriptional data. The intern is expected to develop a robust pipeline for identifying and quantifying sequence motifs enriched in the upstream (and downstream) regions of genes of interest. The individual will explore comparative genomics approaches in addition to sequence enrichment to prioritize putative regulators. This tool will form an integral part of Computational Biology group’s standard pipeline in analyzing all subsequent datasets. Furthermore, we want to integrate this tool with existing in-house databases (PPI, disease map) and external databases (ENCODE, dbSNP, NextBio, GeneGo) to provide a comprehensive picture of transcriptional regulation in the context of the experiment. Further work involving systems biology/network-based approaches can also be pursued time permitting.
Location
Cambridge, MA, US
Job Category
Internship
Requisition Number
25594BR
Qualifications
To participate in the Biogen Intern 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 Intern 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 Qualifications: 1) Experience with exploratory data analysis and machine learning techniques (regression, SVM, decision trees) 2) Experience in one or more of the following: Python, R, Java, Bash, Perl 3) Experience/awareness of analyzing large scale genomic data such as RNAseq, DNASeq, proteomics, etc 4) Knowledge of various biological databases (BioGRID, ENCODE, dbSNP) 5) Experience working in cross-functional groups at the intersection of data analytics and biology.
Education
MS/PhD in Bioinformatics or computer science or any quantitative field.
About Biogen
Biogen (NASDAQ: BIIB) is a biotechnology leader that discovers, develops and delivers innovative therapies to improve the lives of patients with neurodegenerative diseases, hematologic conditions and autoimmune diseases. Patients worldwide benefit every day from our medicines for multiple sclerosis (MS) and hemophilia.
Founded in 1978, Biogen is the world’s oldest independent biotechnology company. Our development pipeline is focused on areas of high unmet medical need, as we pursue new therapies for patients suffering from diseases with few or no treatment options. These include programs for secondary progressive MS, Alzheimer’s Disease, spinal muscular atrophy, lupus and amyotrophic lateral sclerosis (ALS), amongst others.
With approximately 7,500 people worldwide, Biogen is truly a global organization. We are headquartered in Cambridge, Massachusetts, which is home to our research operations. Our international operations are based in Zug, Switzerland and we have world-class manufacturing facilities in North Carolina and Denmark. We offer therapies globally through direct affiliate presence in 30 countries and a network of distribution partners in over 50 additional countries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.
Please be advised that all legitimate correspondence from a Biogen employee will come from "@biogen.com" or "@biogenidec.com" email accounts.
Additional Info:
[Click Here to Access the Original Job Post]
External Posting Title
Intern: Computational Biologist
Job Description
This is a full-time internship from June-August 2015.
This individual will work closely with the computational biology/genomics group, data sciences team and key stakeholders to understand immediate requirements in analyzing large scale genomic datasets. The intern will identify key internal and external datasets to integrate and validate approaches to predict putative regulators in transcriptional data. The intern is expected to develop a robust pipeline for identifying and quantifying sequence motifs enriched in the upstream (and downstream) regions of genes of interest. The individual will explore comparative genomics approaches in addition to sequence enrichment to prioritize putative regulators. This tool will form an integral part of Computational Biology group’s standard pipeline in analyzing all subsequent datasets. Furthermore, we want to integrate this tool with existing in-house databases (PPI, disease map) and external databases (ENCODE, dbSNP, NextBio, GeneGo) to provide a comprehensive picture of transcriptional regulation in the context of the experiment. Further work involving systems biology/network-based approaches can also be pursued time permitting.
Location
Cambridge, MA, US
Job Category
Internship
Requisition Number
25594BR
Qualifications
To participate in the Biogen Intern 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 Intern 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 Qualifications: 1) Experience with exploratory data analysis and machine learning techniques (regression, SVM, decision trees) 2) Experience in one or more of the following: Python, R, Java, Bash, Perl 3) Experience/awareness of analyzing large scale genomic data such as RNAseq, DNASeq, proteomics, etc 4) Knowledge of various biological databases (BioGRID, ENCODE, dbSNP) 5) Experience working in cross-functional groups at the intersection of data analytics and biology.
Education
MS/PhD in Bioinformatics or computer science or any quantitative field.
About Biogen
Biogen (NASDAQ: BIIB) is a biotechnology leader that discovers, develops and delivers innovative therapies to improve the lives of patients with neurodegenerative diseases, hematologic conditions and autoimmune diseases. Patients worldwide benefit every day from our medicines for multiple sclerosis (MS) and hemophilia.
Founded in 1978, Biogen is the world’s oldest independent biotechnology company. Our development pipeline is focused on areas of high unmet medical need, as we pursue new therapies for patients suffering from diseases with few or no treatment options. These include programs for secondary progressive MS, Alzheimer’s Disease, spinal muscular atrophy, lupus and amyotrophic lateral sclerosis (ALS), amongst others.
With approximately 7,500 people worldwide, Biogen is truly a global organization. We are headquartered in Cambridge, Massachusetts, which is home to our research operations. Our international operations are based in Zug, Switzerland and we have world-class manufacturing facilities in North Carolina and Denmark. We offer therapies globally through direct affiliate presence in 30 countries and a network of distribution partners in over 50 additional countries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.
Please be advised that all legitimate correspondence from a Biogen employee will come from "@biogen.com" or "@biogenidec.com" email accounts.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]