Senior Scientist, iPSC Models & High-Content Imaging

RiseMe

San Diego (CA)

On-site

USD 131,000 - 179,000

Full time

4 days ago
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Job summary

Neurocrine Biosciences in the United States seeks a collaborative scientist to develop and characterize physiologically relevant iPSC-derived cellular and disease models, including mono-, co-, and tri-culture systems.

You will serve as a technical expert for the HCI platform, lead image acquisition, and develop quantitative data analysis to answer broad biological questions. Strong expertise in multicellular models is preferred.

Qualifications

  • Experience with iPSC-derived cellular models and multicellular systems.
  • Strong HCI platform expertise and image-analysis development.
  • Experience leading cross-functional teams and mentoring junior scientists.

Responsibilities

  • Lead development and characterization of iPSC-derived models (mono-, co-, tri-culture).
  • Develop and optimize cell-based assays and phenotypic readouts for therapeutics.
  • Lead the high-content imaging platform (Operetta) including design and data analysis.
  • Develop automated image-analysis pipelines (segmentation, classification, profiling).
  • Provide training and technical support for HCI instrumentation and workflows.
  • Independently design experiments, troubleshoot, interpret data, communicate results.
  • Evaluate new cell models and imaging approaches to expand capabilities.
  • Collaborate cross-functionally to advance programs.

Skills

iPSC models
High-content imaging
Image analysis
Cell-based assays
Experimental design
Data analysis
Cross-functional teamwork
Mentoring

Education

PhD or equivalent
MS/MA
BS/BA

Tools

Revvity Operetta
Harmony
CellProfiler
Spotfire
Prism

Job description

Neurocrine Biosciences in the United States seeks a collaborative scientist to develop and characterize physiologically relevant iPSC-derived cellular and disease models, including mono-, co-, and tri-culture systems.

You will serve as a technical expert for the HCI platform, lead image acquisition, and develop quantitative data analysis to answer broad biological questions. Strong expertise in multicellular models is preferred.

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