Senior Scientist II, Quantitative Bioimaging
Listed on 2026-02-18
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Research/Development
Data Scientist, Research Scientist, Biomedical Science
Company Description
Abb Vie'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 Abb Vie, please visit us at Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.
Job DescriptionAbb Vie is seeking an independent and innovative Senior Scientist to join our Imaging group. In this role, you will lead the development and integration of advanced microscopy and quantitative imaging strategies, enabling high-resolution, quantitative analysis of biological responses in both 2D and 3D models such as state-of-the-art organ‑on‑a‑chip platforms. This is a high‑impact position that directly advances therapeutic model development, supporting key initiatives in Complex In Vitro Models (CIVM) and aligning with the broader objectives of Immunology discovery programs.
The work will span the fields of biology, bioengineering, and computational sciences, so candidates with experience combining two or more of these subjects will be preferred.
- Proficient in imaging assays and data analysis; strong expertise in high content imaging and phenotypic in vitro assay development, multi‑parametric computational image analysis, QC, and data visualization.
- Design, implement, and optimize image acquisition pipelines for 2D and 3D cellular/tissue models using different microscopy platforms.
- Promote the use of novel experimental approaches and adoption of complex in vitro models; routinely investigate/create innovative processes, hypotheses and methodologies.
- Collaborate with cross‑functional teams including biologists, pathologists, and bioinformaticians to conceptualize assays, execute experiments, and generate robust data.
- Apply advanced machine learning methods to identify novel biomarkers and correlate results with molecular and phenotypic signatures; integrate data from in vitro models and tissue specimens.
- Proactively monitor new technologies, bringing innovative imaging and analysis solutions to project teams.
- Analyze and interpret data, integrating imaging and functional readouts, and effectively communicate results to internal stakeholders and external collaborators.
Required Qualifications
- BS, MS, or PhD in Bioengineering, Biology, or a related field, with typically 12+ (BS), 10+ (MS), or 3+ (PhD) years of relevant industry experience.
- Demonstrated expertise in 2D and 3D cell culture models and advanced microscopy.
- Proficient in image analysis tools (e.g., Imaris, Image
J/Fiji) and programming languages (e.g., Python, MATLAB) for developing custom analyses. - Strong background in quantitative 3D image analysis, data visualization, and statistical analysis.
- Demonstrated experience integrating and analyzing complex biological datasets.
- Track record of implementing emerging cell biology technologies in 3D and organ‑on‑a‑chip systems.
- Experience with organoids, organ‑on‑chip models and other advanced in vitro model platforms.
- Strong understanding of transport phenomena in biological systems.
- Excellent problem‑solving and communication skills, collaborative mindset, and ability to convey complex results to diverse audiences.
- Self‑driven and proactive, with the ability to manage multiple priorities, and adapt to evolving objectives in a fast‑paced environment.
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…
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