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Job

Postdoctoral Fellow - AI/ML for Single Cell and Spatial Genomics

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Genentech

20d ago

💼 Graduate Job

San Francisco

⌛ Closed
Applications are closed

Graduate Job

Science, Software EngineeringSan Francisco

Description

  • The Corrada-Bravo (BRAID-Biology Research | AI Development) and Geiger-Schuller (Cellular and Tissue Genomic) Labs at Genentech Research and Early Development are looking for an exceptional Postdoctoral Fellow to lead development and application of Machine Learning methods for the representation, analysis and interpretation of spatial transcriptomics data, and the design and interpretation of in-vivo perturbation screens with high-content spatial readouts. 
  • This postdoc will be joint with the Corrada-Bravo and Geiger-Schuller labs with co-mentorship from both lab leaders and close collaboration with ongoing efforts in neurodegeneration. 

Requirements

  • Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field required
  • Demonstrated ability to design, implement, and apply modern ML methods for the analysis of high-throughput genomics data in general (e.g., spatial transcriptomics, scRNA-seq, RNA-seq, scATAC-seq, ATAC-seq, CITE-seq, etc.) required
  • Expertise implementing ML methods using appropriate technologies (e.g, PyTorch, JAX) required
  • Demonstrated ability to effectively communicate complex computational biology problems to peers, users, and leadership required
  • Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational scientists and biologists.

Education requirements

PhD

Area of Responsibilities

Science
Software Engineering

Responsibilities

  • Conduct independent research under the joint mentorship of Drs. Geiger-Schuller and Corrada-Bravo
  • Develop and apply novel ML methods for interpretable representation learning of multi-modal data (including spatial transcriptomics and imaging) to assist the design and interpretation of in-vivo perturbation screens with spatial readouts
  • Collaborate with colleagues in neuroscience on the design and analysis of perturbation studies based on the application of methods developed in this project
  • Publish high-quality papers reporting on methodological and biological advances resulting from this work

Details

Work type

Full time

Work mode

office

Location

San Francisco