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AbbVie Senior Scientist I, Bioinformatics in Cambridge, Massachusetts

About AbbVie

AbbVie (NYSE:ABBV) is a global, research-driven biopharmaceutical company committed to developing innovative advanced therapies for some of the world’s most complex and critical conditions. The company’s mission is to use its expertise, dedicated people and unique approach to innovation to markedly improve treatments across four primary therapeutic areas: immunology, oncology, virology and neuroscience. In more than 75 countries, AbbVie employees are working every day to advance health solutions for people around the world. For more information about AbbVie, please visit us at . Follow @abbvie at on Twitter, Facebook at or LinkedIn at .​

We have an exciting opportunity for a Senior Scientist based in Cambridge, MA in the Genomics Research Center. This role involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis, response (efficacy and safety) to new drug treatment, and patient stratification in close collaboration with the Clinical Translational Medicine Immunology team.

The Genomics Research Center (GRC) is a center of excellence for bioinformatics, functional genomics, human genetics, pharmacogenomics and multiple population cohorts (over 1 million genomes) and works across all R&D, and other areas such as process sciences and corporate strategy. The GRC plays 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 Biology drives research by data analysis and data integration with Discovery and Development in activities such as the identification and validation of new targets, elucidating underlying biological mechanisms for disease development and progression, translational research, and patient stratification.

Key Responsibilities:

  • Devise and execute sophisticated analyses to extractmeaningful and actionable information from various omics (e.g. genomic,transcriptomic, epigenomic, proteomic) data from clinical / translational activitiesfrom our Immunology programs, as well as from relevant external studies.

  • Primarily collaborate with pharmacogenomics / translationalscience in Immunology (Clinical Translational Medicine Immunology) to contributeto studies related to drug response, biomarkers, or disease etiology andprogression, with focus on the computational aspects of the projects.

  • Perform necessary quality control checks and data managementof large omics data and phenotypic datasets.

  • Review and contribute to the establishment of relevantpipelines, workflows, and underlying methodology.

  • Communicateanalytical results verbally and in writing for scientific and technicalaudiences.



  • BS, MS or PhD degree in either quantitative science (computationalbiology, bioinformatics, computer science, engineering, statistics, epidemiology,mathematics) with typically 10+ (BS), 8+ (MS), or 0+ (PhD) years of experience.

  • Strong biology knowledge or biological sciences(immunology preferred) with strong quantitative skills.

  • Fluencyin 1 or more relevant programming languages such as R, Python, Perl, Java,or C++, and be comfortable working in a HPC Linux environment.

  • Experiencewith large-scale data analysis involving the integration of nextgeneration sequencing data.

  • Ability to summarize analyticalresults, derive biological/clinical interpretation and recommend follow upactions to peer biologists/clinicians.

  • Hands-on experience in genomics,genetic and/or epigenetic data analyses using existing and custompipelines.

  • Strong communicationskills, innate scientific curiosity and collaborative team spirit

Preferred qualifications:

  • Working experience in biopharmaindustry.

  • Experiencein translating genomic data into clinically relevant results.

  • Experiencewith large-scale research projects involving multi-omic data, such aswhole exome and whole genome sequencing data, array-based genotype data,RNA-seq data, array-based expression data, methylome data, andneuroimaging data.

  • Fluencywith clinical trials and translational studies.

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Equal Employment Opportunity

At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis 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, protected veteran status, or any other legally protected characteristic.