About AbbVie

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 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.

The QTAS Department within AbbVie’s South San Francisco location is seeking a highly motivated scientist to support the creation and implementation of flow cytometry (FCM) based pharmacodynamic cell-based assays that promote the development of novel therapies from the bench to the clinic. In addition, the ideal candidate will have a strong background in pharmaceutical sciences, bioinformatics, ability to drive cutting-edge science and work in a matrix environment. The candidate will work in a highly collaborative environment with the overall objective to incorporate emerging technologies and streamline data analysis for early and late-stage drug development pipelines. In addition, you will have opportunities to contribute to broader areas within QTAS as your experience and expertise warrants.

• Work as part of a highly collaborative interdisciplinary team in an integrated early drug development laboratory
• Conduct laboratory studies in support of pharmacodynamic biomarker development and execution of individual immune-oncology and immunology R&D projects using flow cytometry
• Independently design, implement and monitor flow cytometric biomarker assays as well as data collection in early pre-clinical and clinical trials
• Minimum 1 year of hands-on experience in both conventional and spectral flow cytometry: BD Fortessa X20, BD Symphony, and Cytek Aurora/Aurora Evo
• Maintaining existing R coding scripts in support of preclinical and clinical biomarker data
• Implement bioinformatic scripts and develop data visualization approaches for preclinical studies
• Evaluate emerging algorithms and approaches to improve rigorous assay development and internal quality control measures
• Interact with cross-functional teams to establish productive collaborations

Qualifications - External

• Bachelor’s Degree, or equivalent education, with typically 3 or more years’ experience or Master’s Degree or equivalent education (no additional experience)
• Must have 1+ years of hands-on flow cytometry experience
• Able to work with various BD instruments (i.e. Fortessa, Symphony) and Cytek Aurora
• Experienced with various flow cytometric analysis software including OMIQ and FlowJo is essential
• In depth knowledge of fluorochromes and familiarization with complex multi-color flow cytometry are highly desirable
• Prior experience with R and Python coding languages and data visualization approaches are required
• Strong and relevant publication record in the bioinformatics, immune-oncology, and immunology fields
• Highly motivated, self-driven and results-oriented person with excellent communication and presentation skills,
• Work both as a team player and independent scientific contributor
• Passion for generating ideas, learning, solving technical problems and applying new technologies to further scientific goals
• Basic knowledge in Immunology and of various immune cell populations is a plus
• Able to handle multiple projects and highly attentive to details

[MG1]Do you want the candidate to just perform assays or they themselves also develop the assays?

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