Senior Scientist II, Quantitative Bioimaging

Role Summary

An independent and innovative Senior Scientist to join the 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.

Responsibilities

• 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.

Qualifications

• Required: 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.
• Required: Demonstrated expertise in 2D and 3D cell culture models and advanced microscopy.
• Required: Proficient in image analysis tools (e.g., Imaris, ImageJ/Fiji) and programming languages (e.g., Python, MATLAB) for developing custom analyses.
• Required: Strong background in quantitative 3D image analysis, data visualization, and statistical analysis.
• Required: Demonstrated experience integrating and analyzing complex biological datasets.
• Required: Track record of implementing emerging cell biology technologies in 3D and organ-on-a-chip systems.
• Preferred: Experience with organoids, organ-on-chip models and other advanced in vitro model platforms.
• Preferred: Strong understanding of transport phenomena in biological systems.
• Preferred: Excellent problem-solving and communication skills, collaborative mindset, and ability to convey complex results to diverse audiences.
• Preferred: Self-driven and proactive, with the ability to manage multiple priorities, and adapt to evolving objectives in a fast-paced environment.

Skills

• Imaging and data analysis proficiency; high content imaging; phenotypic in vitro assay development; multi-parametric computational image analysis; QC; data visualization
• Image analysis tools (Imaris, ImageJ/Fiji) and programming (Python, MATLAB) for custom analyses
• Quantitative 3D image analysis, data visualization, and statistical analysis
• Data integration across in vitro and tissue datasets
• Machine learning for biomarker discovery; cross-functional collaboration
• Design and implementation of image acquisition pipelines for 2D/3D models
• Staying current with new imaging technologies and methods

Education

• Degree: BS, MS, or PhD in Bioengineering, Biology, or related field