Senior Scientist, Multiomics Discovery

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Discovery & Pre-Clinical/Clinical Development

Biological Research

Scientific/Technology

Spring House, Pennsylvania, United States of America

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

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We are searching for the best talent for a Senior Scientist, Multiomics Discovery located in Spring House, PA.

We are seeking an accomplished Senior Scientist to develop mechanistic insights from phenotypic assays that are based in spatial omics disease maps. The ideal candidate will lead the development of technically‑complex, high‑throughput cellular assay platforms that support discovery efforts in immunology, neuroscience, and oncology. The ideal candidate must have deep expertise in designing and constructing genetic libraries, implementing CRISPR‑based perturbation strategies, and building engineered cell systems that enable mechanistic insights and scalable experimentation.

This role offers the opportunity to shape cutting‑edge experimental platforms that drive discovery and enable the systematic exploration of complex biological systems rooted in a deep, multimodal spatial understanding of disease biology.

• Design, construct, and optimize genetic libraries for CRISPR‑based perturbation, reporter assays, over‑expression systems and multiplexed functional studies.
• Develop and execute complex phenotypic assays, including high‑content imaging, pooled optical screens, and massively parallel reporter assays (MPRA).
• Engineer and characterize advanced cellular models, including an emphasis on immune cells and models relevant to immunology, neuroscience, and oncology.
• Establish and optimize FACS‑based workflows, including sorting strategies, multicolor panel design, and high‑throughput cell processing.
• Implement and refine pooled and arrayed screening platforms, ensuring robust delivery, expression, and representation of perturbation libraries.
• Utilize organoid, co‑culture, and microenvironment‑mimicking systems, leveraging technologies such as cell printers and 3D cellular architectures.
• Drive assay innovation, troubleshooting complex technical challenges and introducing new methodologies to expand experimental capabilities.
• Partner closely with computational scientists, ensuring high‑quality data generation, clear experimental metadata, and effective interpretation of multidimensional results.
• Perform basic computational data analysis, including QC, exploratory analysis, and visualization, using standard computational approaches.
• Cross‑train and develop a deep foundation in spatial…