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AbbVie
Scientist- Bioinformatics, Biotherapeutics and Genetic Medicine
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What they do
A Bioinformatician uses computers and software tools to study biology and biology-related data. Conducts studies and maintains biology data; may develop specialized bioinformatics software. Analysis may be used for product development at a pharmaceutical company, disease research at a hospital or health policy research at a public health organization.
$102,884 / year median in Massachusetts
+14% projected growth
Job Description
Company DescriptionAbout AbbVieAbbVie'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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job DescriptionBiotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie's R D, is a global organization dedicated to the discovery and optimization of innovative drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA, etc.) across all therapeutic areas.
We are seeking a driven and innovative scientist with expertise in bioinformatics to develop and optimize data capture workflows and visualization dashboards for biologics discovery.
Collaborate across groups with different prioritiesUnderstand and communicate nuance of wet-lab workflows to enable integrated, harmonized data capture.
Proactively communicate roadblocks and identify potential paths forwardCommunicate impact, including workflow efficiency gains at internal and external forumsQualificationsBS or MS degree in a related scientific discipline or bioinformatics, with typically 5-7+ (BS) or 2-5+ (MS) years of experience.
Strong foundational knowledge of molecular biology and binding and functional assays. Hands-on experience with commonly used bioinformatics tools and platforms (e.g., Prism, Geneious, Genedata Screener, Dotmatics, Benchling) Proficiency in Python and at least one other programming language (e.g., SQL, Java, or R) Demonstrated expertise in data engineering, e.g. retrieving, shaping, preprocessing, and managing large datasets from databases Proven ability to develop interactive data visualizations and dashboards (experience with Power BI, Tableau, D3.js, or Spotfire preferred) Experience with collection and processing of assay data, preferably using automated liquid handlers.
Job DescriptionBiotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie's R D, is a global organization dedicated to the discovery and optimization of innovative drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA, etc.) across all therapeutic areas.
We are seeking a driven and innovative scientist with expertise in bioinformatics to develop and optimize data capture workflows and visualization dashboards for biologics discovery.
Responsibilities:
Collaboratively design digital workflows or tools to streamline biologics discovery and evaluate improvements in operational efficiencyTest software solutions and identify opportunities for iterative improvementsProactively identify scientist needs that further our digital transformation strategy and propose solutions to meet themPilot new software and AI tools to evaluate utility for BGMImplement standard analyses and visualizations that balance customization and increased efficiencyRepresent BGM to Informatics and external software vendor providers as a technical expert.Collaborate across groups with different prioritiesUnderstand and communicate nuance of wet-lab workflows to enable integrated, harmonized data capture.
Proactively communicate roadblocks and identify potential paths forwardCommunicate impact, including workflow efficiency gains at internal and external forumsQualificationsBS or MS degree in a related scientific discipline or bioinformatics, with typically 5-7+ (BS) or 2-5+ (MS) years of experience.
Strong foundational knowledge of molecular biology and binding and functional assays. Hands-on experience with commonly used bioinformatics tools and platforms (e.g., Prism, Geneious, Genedata Screener, Dotmatics, Benchling) Proficiency in Python and at least one other programming language (e.g., SQL, Java, or R) Demonstrated expertise in data engineering, e.g. retrieving, shaping, preprocessing, and managing large datasets from databases Proven ability to develop interactive data visualizations and dashboards (experience with Power BI, Tableau, D3.js, or Spotfire preferred) Experience with collection and processing of assay data, preferably using automated liquid handlers.