About The Position

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. We are Chemical Biology in the Quantitative Biosciences department at Our Company, where we leverage robust scientific methodology and state-of-the-art instrumentation to collaborate on driving the next medical breakthrough. Our mission is to advance the best drug candidates into the clinic by utilizing advanced capabilities that enable higher-resolution interrogations of novel biology and elucidation of mechanisms of action. We are seeking a highly motivated Co-op scientist to contribute to our early drug discovery work. The successful candidate will focus on high-content imaging, morphological profiling, and multimodal data integration to study complex biological systems and support molecular mechanism-of-action studies.

Requirements

  • Must be currently enrolled undergraduate or graduate student (BS, MS, or PhD) in biological sciences, bioengineering, computational biology, or related field.
  • Must have experience with high-content imaging or microscopy-based data & analysis of multimodal biological datasets (examples: imaging data combined with RNA-Seq, small molecule/CRISPR-based high throughput screens, and / or proteomics data).
  • Must possess proficiency with data analysis tools or programming languages (e.g., Python, R, MATLAB, or similar).

Nice To Haves

  • Prior hands-on experience with mammalian cell culture and imaging assays, including Cell Painting.
  • Prior experience with multimodal data aggregation and visualization.

Responsibilities

  • Aggregate, organize, and analyze high-content imaging data (e.g., cell painting, phenotypic profiling, live-cell imaging) to integrate multimodal datasets.
  • Perform hands-on laboratory work including mammalian cell culture, perturbation experiments, and imaging-based assay execution.
  • Analyze and interpret datasets and present findings to team.
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