Postdoctoral Fellow Edge Algorithms for SingleCell Genomics

F. Hoffmann-La Roche AG

South San Francisco (CA)

On-site

USD 100,000 - 107,000

Full time

10 days ago
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Benefits offered by this job

Relocation benefits

Job summary

Genentech in California seeks an independent Postdoctoral Fellow to develop edge algorithms for single-cell genomics, spatial data, and perturbation screens with high-content molecular imaging data to study cellular programs in health and disease.

You will join Aviv Regev’s lab in a collaborative, interdisciplinary group and lead independent projects leveraging collaborations within the group and across R&D to push forward discoveries in biology and medicine.

Qualifications

  • PhD in a relevant field such as Computational Biology, Computer Science or Applied Mathematics.
  • Demonstrated record of innovative scientific accomplishments with at least one first-author or co-first author paper in a top journal or conference.
  • Technically rigorous, bold and creative, with a passion for biology and human disease.
  • Ability to present complex results clearly to interdisciplinary audiences.

Responsibilities

  • Develop and apply edge algorithms for analysis of single-cell genomics, spatial data and perturbation screens.
  • Work on independent research projects leveraging collaborations within Aviv Regev's group and across R&D.
  • Contribute to understanding cellular and multicellular programs in health and disease using high-content data.

Education

PhD in Computational Biology / Computer Science / Applied Mathematics

Job description

Genentech in California seeks an independent Postdoctoral Fellow to develop edge algorithms for single-cell genomics, spatial data, and perturbation screens with high-content molecular imaging data to study cellular programs in health and disease.

You will join Aviv Regev’s lab in a collaborative, interdisciplinary group and lead independent projects leveraging collaborations within the group and across R&D to push forward discoveries in biology and medicine.

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