AbbVie’s Genomics Research Center Computational Genomics is looking for a highly motivated computational biologist (Senior Scientist I/II, Bioinformatics) to join a team of bioinformatics scientists investigating aging and age-related diseases. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, and human genetics. The GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, global epidemiology, search and evaluation, and corporate strategy.
The ideal candidate will be an experienced computational biologist with extensive experience in designing and implementing bioinformatics methods as well as analysis and interpretation of various types of omics data to solve biological and clinical problems. The candidate should be familiar with developing and improving genomic data workflows on large NGS datasets, contemporary data visualization methods, as well as writing clean, well-documented, efficient code in R, bash, and python. Candidates should have demonstrated proficiency in a Linux environment and high-performance distributed computing and should be knowledgeable in the areas of statistical inference. Individuals with experience interpreting biological data related to understanding human disease biology, drug target identification, or treatment mechanism of action are preferred. The successful candidate will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical methods, and communicating scientific findings to internal and external stakeholders. In addition, the candidate may contribute to presentations at scientific conferences, publications in peer-reviewed journals, and regulatory filings.
MS, or Ph.D in Bioinformatics, Computer Science, Biostatistics, or related field, with at least 8+ (MS), 0-2 (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 or Java.
Candidates should be experienced with high-throughput omics technologies such as gene expression transcriptomics, enrichment analysis, proteomics, metabolomics, epigenomics etc.
Knowledge around contemporary data visualization methods like 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
AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.