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AbbVie Scientist II or Senior Scientist I, Bioinformatics in North Chicago, Illinois

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

AbbVie’s Genomics Research Center is looking for a highly motivated computational biologist (Scientist II/Senior Scientist I, 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.

This role is an on site position based out of our Lake County, IL office and the employee must be able to work on site in a hybrid work environment.

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.

Qualifications

Scientist II - BS or equivalent education with typically 7 or more years of experience or MS or equivalent education with typically 5 or more years of experience.

Sr. Scientist I - Bachelor’s Degree or equivalent education and typically 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.

  • 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

Additional skills preferred:

  • Experience analyzing and interpreting gene expression data for understanding disease mechanisms and model organism prioritization

  • Background in analyzing and understanding human disease biology with omics data across multiple tissues from affected patients and animal 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

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

  • This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

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.

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