Job Description:
We are looking for an exceptional candidate for a computational/systems biologist position. The candidate will collaborate with world class research scientists and be afforded with necessary computational resources to expedite scientific research for target identification, disease mechanism understanding, patient stratification and clinical biomarker discovery through computational approaches. Successful candidate will be an experienced computational biologist with deep disease knowledge and track record of functioning well in a cross-functional environment. Exceptional written and verbal communication and organization skills are required. < Key Responsibilities: -Collaborate with research & clinical scientists to conceive informatics analysis strategy and independently execute bioinformatics analysis that support discovery and pre-clinical studies such as new target identification and biomarker development -Build custom analysis pipelines per project analysis needs and can be executed by other computational and genomics scientists -Collaborate with software engineers to maintain and build computational infrastructure and pipelines -Identify relevant internal and external data and knowledge resources and propose integration mechanisms for immunology data integration -Be abreast with most current systems analysis methodology and algorithms and introduce them in-house when appropriate. -Communicate analytical analysis verbally and in writing for scientific and technical Key AbbVie Competencies: -Builds strong relationships with peers and cross functionally with partners outside of the team to enable higher performance. -Learns fast, grasps the “essence” and can change the course quickly where indicated. -Raises the bar and is never satisfied with the status quo. -Creates a learning environment, open to suggestions and experimentation for improvement. -Embraces the ideas of others, nurtures innovation and manages innovation to reality. Significant Work Activities and Conditions: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Additional Info:
AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott Laboratories. The company's mission is to use its expertise, dedicated people and unique approach to innovation to develop and market advanced therapies that address some of the world's most complex and serious diseases. AbbVie employs approximately 30,000 people worldwide and markets medicines in more than 170 countries. The Systems Computational Biology (SysComp) Department at Abbvie Bioresearch Center is responsible for providing computational solutions and conducting computational research for immunology discovery and translational programs. We partner with discovery & clinical scientists to identify genes and pathways operant in human diseases through interrogation of complex multi-omics data sets generated from clinical samples. Equal Opportunity Employer Minorities/Women/Veterans/Disabled [Click Here to Access the Original Job Post]
We are looking for an exceptional candidate for a computational/systems biologist position. The candidate will collaborate with world class research scientists and be afforded with necessary computational resources to expedite scientific research for target identification, disease mechanism understanding, patient stratification and clinical biomarker discovery through computational approaches. Successful candidate will be an experienced computational biologist with deep disease knowledge and track record of functioning well in a cross-functional environment. Exceptional written and verbal communication and organization skills are required. < Key Responsibilities: -Collaborate with research & clinical scientists to conceive informatics analysis strategy and independently execute bioinformatics analysis that support discovery and pre-clinical studies such as new target identification and biomarker development -Build custom analysis pipelines per project analysis needs and can be executed by other computational and genomics scientists -Collaborate with software engineers to maintain and build computational infrastructure and pipelines -Identify relevant internal and external data and knowledge resources and propose integration mechanisms for immunology data integration -Be abreast with most current systems analysis methodology and algorithms and introduce them in-house when appropriate. -Communicate analytical analysis verbally and in writing for scientific and technical Key AbbVie Competencies: -Builds strong relationships with peers and cross functionally with partners outside of the team to enable higher performance. -Learns fast, grasps the “essence” and can change the course quickly where indicated. -Raises the bar and is never satisfied with the status quo. -Creates a learning environment, open to suggestions and experimentation for improvement. -Embraces the ideas of others, nurtures innovation and manages innovation to reality. Significant Work Activities and Conditions: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
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Additional Info:
AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott Laboratories. The company's mission is to use its expertise, dedicated people and unique approach to innovation to develop and market advanced therapies that address some of the world's most complex and serious diseases. AbbVie employs approximately 30,000 people worldwide and markets medicines in more than 170 countries. The Systems Computational Biology (SysComp) Department at Abbvie Bioresearch Center is responsible for providing computational solutions and conducting computational research for immunology discovery and translational programs. We partner with discovery & clinical scientists to identify genes and pathways operant in human diseases through interrogation of complex multi-omics data sets generated from clinical samples. Equal Opportunity Employer Minorities/Women/Veterans/Disabled [Click Here to Access the Original Job Post]