Senior Scientist, Genetics Research

Lake County, IL, US
Nov 26, 2018
Required Education
Bachelors Degree
Position Type
Full time
The Genetics Research Center (GRC) is a newly created center of excellence for genetics and genomics that supports both Discovery and Development. The GRC will play an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials. Within the GRC, the Department of Computational Genomics is responsible for data analysis and provides analytical insight for both internal and external data. This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. We have an exciting opportunity for a Senior Scientist, based in North Chicago, IL reporting to the Head of Computational Genomics.

Key Responsibilities:
    Devise and execute analyses to extract meaningful and actionable information from large genetic sequencing databases with an emphasis on target discovery and clinical translational markers Conduct statistical genetic analyses to determine genotype-phenotype relationships including mixed model regression, linear and logistic regression, rare variant aggregate tests, and family-based tests for quantitative biomarkers and disease traits Supervise quality control checks and data management of large genomic sequencing and phenotypic datasets, derived from disparate sources, such as electronic health records and internal clinical trials Independently translate and implement algorithms and protocols in a high performance computing environment Optimize existing pipelines and review current workflows, as well as contribute to the establishing new pipelines, workflows, and underlying methodology

Position will be hired base on the level of experience.

  • BS, MS, or PhD in Bioinformatics, Computer Science, Statistics, Engineering, Genetics, Biostatistics, or related field, involving the deep analysis of genomics data
  • 10+ (BS), 8+ (MS), or 0+ (Ph.D) years of relevant experience
  • Strong statistical and programming proficiencies with expertise in a variety of genomics data, such as whole exome/genome/methylome, RNA-seq, ChIP-seq, as well as array-based genotype data.
  • Experience with chromatin conformation data, such as HiC/HiCHIP/PLAC-Seq/4C is desired
  • Experience analyzing copy number and/or structural variation data is a plus.

Additional requirements include:
  • Understanding in handling and managing data and software associated with high-throughput instruments for genetics and/or genomics.
  • Strong knowledge in use of statistical software and programming languages (e.g., Python, R, Java, SAS, Perl), with ability to perform detailed analyses, interpret, and effectively communicate results.
  • Fluency with genome databases (such as those relating to genome annotation, genetic variants, and pathways) and other tools that are relevant for the study of computational biology.

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.

Equal Opportunity Employer Minorities/Women/Veterans/Disabled