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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 Genomic Research Center (GRC) is seeking a highly qualified bioinformatics scientist to join the Emerging Technology (ET) Group within the Computational Genomics team in GRC with a focus on driving innovation by leveraging both internal and external Omic technologies to the drug discovery process. 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, supporting all of AbbVie’s therapeutic areas and multiple areas such as process sciences, global epidemiology, search and evaluation, and corporate strategy .

The ideal candidate should harbor a strong interest in learning how various genomic technologies/platforms can be used to address specific biological questions. This will require the candidate to work closely with our research scientists both in analysis support and experimental design and thus a strong background in molecular biology is a plus. The successful candidate will be primarily responsible for developing prototype analysis workflow for these new technologies and should demonstrate programming experience in method/algorithm development along with a strong publication record. Since the technology landscape changes at a rapid pace, the strong candidate must keep up with the latest developments in key areas, be comfortable working with multiple technology platforms to evaluate their performance, and able to communicate findings to both internal and external stakeholders with diverse technical backgrounds.

Key Responsibilities:

  • Work closely with bench scientists at the GRC to develop analytical methods for new and state of the art omics technologies and make contributions in the area of experimental design, hypothesis generation, and follow-up studies
  • Evaluate, develop, and implement analytical workflows that encompass all aspect of data analysis for a variety of NGS experiments by leveraging existing published methods and develop novel method where necessary.
  • Devise and execute sophisticated models and analyses to extract meaningful and actionable information from the integration of various omics (e.g., genomic, transcriptomic, epigenomic, proteomic) datasets.
  • Train other bioinformaticians on analysis workflow you have developed, and work with bioinformatics engineers to optimize newly developed methods to improve efficiency.
  • Effectively interpret and communicate analytical results with both computational and noncomputational collaborators within GRC and other therapeutic areas.
  • Keep up with latest literature in key Omic areas.
  • Presentation at external conferences and publication of work strongly encouraged.

Qualifications

Qualifications

  • 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.
  • Sr. Scientist II - Masters, or PhD in computational biology, genetics, bioinformatics, computer science,engineering, (bio)statistics, mathematics, or related fields with a strong focus on data analysis with typically 8+ (MS), or 4+ (PhD) years of experience.
  • Fluency in one or more relevant programming languages such as R, Python, and be comfortable working in a HPC Linux environment.
  • Demonstrate ability to develop software (GitHub) and execute custom computational analysis plans by leveraging existing algorithms and relevant databases.
  • Strong record of publication and external presentations in areas of method/algorithm development or data analysis.
  • Strong communication skills, collaborative team spirit, open to tackling new challenges.

Additional skills preferred:

  • Experience with large-scale data analysis of next generation sequencing data, such as CRISPR and single cell omics (RNAseq, Perturbseq)
  • Experience in SQL programming and database design desirable
  • Experience in high content image analysis is a plus

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.
  • This job is eligible to participate in our long-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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Confirmed 22 hours ago. Posted a day ago.

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