The Postdoctoral Program is designed for true investigational and experimental research. Participants will be mentored by renowned industry scientists and collaborators at AbbVie and focused on delivering cutting-edge advancements in Discovery, Development Sciences and BioPharma. The enriching training program offers a balance of structured learning and work experience which fosters a learning environment to advance individual development with accessibility to high-level knowledge building across the drug development continuum. Technical expert that will investigate, identify, develop and optimize new methods/ techniques to address critical project needs. Continuously seek to improve existing laboratory methods and processes. Read and adapt literature to accomplish assignments. Demonstrate mastery of broad range of experimental techniques and methods of data analysis.
To be successful, we need outstanding individuals willing to challenge themselves to find the best solutions for our patients. The AbbVie Postdoc program is one way we are doing just that.
Through our Postdoc program, we are hiring postdocs from key academic institutions for preferred areas of science in the U.S., while providing a unique opportunity for participants to build a solid career foundation in the pharmaceutical industry while building the AbbVie brand as an employer of choice for scientific talent. The program offers a balance of structured learning and work experience, with accessibility to high-level knowledge building across the drug development continuum. This assignment is expected to be two years and no more than three years.
We are looking for the incoming Postdoc class to join AbbVie as the company is positioning itself for another significant year of growth and of the continuing advancement of its patient-driven science and its strategic priorities. In a collaborative, resource rich environment, you and your scientific mentor will be exploring, targeting, investigating, and evaluating key areas of novel research with a publication as the end point. We have a unique postdoctoral opportunity within a cross-disciplinary team from Translation Immunology based in Worcester MA and Immunology Systems Computational Biology group based in Cambridge MA. The translation Immunology group specializes in advancing therapies through interrogation of patient-derived tissues and clinical biomarker identification. Immunology Systems Computational Biology group focuses on the high-throughput omics data analyses for the drug target identification. The candidate will work with this cross-disciplinary team to conduct laboratory in vitro and in vivo experiments to generate CITE-seq data as well as perform the computational analyses on those data with the aim to better understand RA treatment mechanisms.
Key Responsibilities:
• Conduct in vitro and in vivo experiments
• Perform flow cytometric and protein analysis as part of the optimization of the model systems
• Generate single cell CITE-seq data from in vitro and in vivo studies
• Learn and develop novel systems biology approaches to analyze the single cell CITE-seq data
• Effectively write and communicate research findings
• Proactively seek out new information in the literature and incorporate this into individual experiments and overall project
• Publish research in peer-reviewed journals and present work at scientific conferences aligned with business objectives
• PhD degree in immunology or cell biology field with computational biology skills.
• First-hand experience with cellular in-vitro and in-vivo models.
• Strong track record in single cell CITE-seq library preparation, sample preparation, sequencing, and analysis.
• Molecular biology experience (qPCR, RNAseq, etc.) and scientific understanding of systems biology and related analysis tools.
• Computational biology skills are a plus (such as fluency in 1 or more relevant programming languages such as R, Python or Perl and comfort working in a HPC Linux environment)
• Strong collaborative, organizational, and presentation skills.
• Work authorization in the U.S.
• Three letters of recommendation (including Thesis Advisor).
• Letter of intent to pursue Postdoc.
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