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Postdoctoral Fellow, Cell and Tissue Genomics, Rozenblatt-Rosen and Chen labs

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Genentech

3mo ago

Applications are closed

  • Job
    Full-time
    Entry Level
  • Science
    Software Engineering
  • San Francisco

Requirements

  • Ph.D. in Computational Biology, Systems biology, Bioengineering or related field.
  • Expertise in single-cell omics data and/or high-content imaging data analysis (with an emphasis on perturbation datasets)
  • Experienced in applications of computational methods, including ML/AI, to biological data (e.g. transcriptomics, imaging)
  • Familiarity with cell culture, complex human models (3D organoids, co-culture)
  • Familiarity with generation of single cell -omics data at the bench
  • Demonstrated ability to effectively communicate about complex bioinformatics problems to peers, users and leadership.
  • Highly collaborative with the ability to work in a fast-paced environment together with multi-disciplinary teams of computational scientists and biologists

Responsibilities

  • Lead high content perturbation screens with multimodal readouts and leverage data to understand mechanism of action and build predictive models of cell circuits through computation
  • Collaborate with members of the lab to build complex human cell models and optimize their applications to various phases of target discovery

FAQs

What are the primary responsibilities of the Postdoctoral Fellow in the Rozenblatt-Rosen and Chen labs?

The primary responsibilities of the Postdoctoral Fellow include leading the generation of large scale perturbation datasets with multimodal readouts in complex human models, building predictive models of cell circuits using computational tools including ML/AI, collaborating with scientists in other departments, presenting scientific insights at conferences, and publishing research in high-impact journals.

What skills and qualifications are required for this Postdoctoral Fellow position?

The ideal candidate should have a PhD in a relevant field, experience with single-cell omics, ML/AI, and target discovery, strong computational skills, expertise in complex human models, and excellent communication and collaboration abilities.

How will the successful candidate contribute to the research conducted by the Rozenblatt-Rosen and Chen labs?

The successful candidate will lead the generation and analysis of large scale perturbation datasets, use computational tools to build predictive models of cell circuits, collaborate with scientists in various departments, present scientific insights at conferences, and publish research in high-impact journals, contributing to the advancement of cell and tissue genomics research.

Science & Healthcare
Industry
10,001+
Employees
1976
Founded Year

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