Senior Scientist, Bioinformatics I/II (Waukegan)

AbbVie in Waukegan, IL

  • Industry: Scientific Research - Biology/Bioengineering
  • Type: Full Time
  • $101,450.00 - 162,670.00
position filled
AbbVie's Genomics Research Center (GRC) is a center of excellence for bioinformatics, functional genomics, human genetics, pharmacogenomics and multiple population cohorts (over 1 million genomes) across all R&D, process sciences, and corporate strategy. Within the GRC, the Department of Bioinformatics drives research by data analysis and data integration with Discovery and Development; such as, the identification and validation of new targets, elucidating underlying biological mechanisms for disease development and progression, project advancement and translational biomarker research, and patient stratification. Additionally, the department is expanding its Data Strategy portfolio to advance Precision Medicine. We have an exciting opportunity for a Senior Scientist I/II, Bioinformatics, based in North Chicago, IL to join our team.

Position will be hired based on level of experience.

  • Bachelors, Masters, or Ph.D in Bioinformatics, Computer Science, Biostatistics, or related field, with at least 10-12+ (BS), 8-10+ (MS), 0-3+ (Ph.D) years of relevant experience
  • A high degree of technical competency and strong communication ability, as well as fluency in 2 or more relevant programming languages, such as R, Python, Perl, Java, or C++
  • Candidates should be experienced with high-throughput gene expression transcriptomics, enrichment analysis, proteomics, and metabolomics as well as a familiarity with genomic and epigenetic data encountered when analyzing DNA-seq, whole methylome, GWAS, or targeted resequencing data
  • Knowledge around contemporary data visualization methods like D3, R Shiny, or Spotfire; as well as experience in database management in SQL, SQLite, or MongoDB
  • Strong communication skills in a cross-site and collaborative environment
Preferred Qualifications:
  • Experience analyzing and interpreting gene expression data for understanding disease mechanisms and model organism prioritization
  • Background in analyzing and comparing fibrotic diseases and metabolic diseases across multiple tissues from affected patients and mouse models
  • Experience handling, visualizing, recording, and managing data with SQL or other enterprise solutions
  • Fluency with public data repositories like GEO, SRA, and ArrayExpress and mouse model repositories (mgi); familiarity with genomic databases (such as those relating to genome annotation), genetic variants, or consortium disease specific (like the Accelerating Medicines Partnership - Alzheimer's Disease, the Cancer Genome Atlas).

Key Leadership Competencies:
  • Builds strong relationships with peers and cross functionally with partners to enable higher performance
  • Learns fast and can adapt quickly to reprioritization of tasks
  • 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 and manages innovation to reality
  • Strong interpersonal and communication skills with demonstrated ability to work within a team environment

Associated topics: aseptic, bioengineering, biology, biostatistics, biotechnology, metabolism, microbiology, neurobiology, toxicologist, virus

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