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Postdoctoral Fellow - Computational Biology and Bioinformatics - Corrada-Bravo and Geiger-Schuller Labs

Postdoctoral Fellow - Computational Biology and Bioinformatics - Corrada-Bravo and Geiger-Schuller Labs
The Geiger-Schuller and Corrada-Bravo labs at Genentech Research and Early Development are looking for an exceptional Postdoctoral Fellow to focus on computational methods and software for biologically meaningful interpretation of learned representations of combinatorial perturbation assays with multi-modal single cell sequencing readouts. This postdoc will be joint with the Corrada-Bravo lab (in Data Science and Statistical Computing) and Geiger-Schuller lab (in Cellular and Tissue Genomics) with co-mentorship from both lab leaders and will collaborate closely on ongoing joint efforts in neuroscience.

  • Conduct independent research under joint mentorship of Drs. Geiger-Schuller and Corrada-Bravo
  • Develop novel computational methods for interpretable representation learning of multi-modal combinatorial perturbation data
  • Collaborate with colleagues in neuroscience on the design and analysis of perturbation studies including the application of methods developed in this project
  • Publish high-quality papers reporting on methodological and biological advances resulting from this work
  • Share new methodological advances with the broader scientific community as open-source software
  • Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field
  • Demonstrated ability to design, implement and apply modern statistical and computational methodology for the analysis of high-throughput genomics data in general (e.g., scRNA-seq, RNA-seq, scATAC-seq, ATAC-seq, CITE-seq, etc.)
  • Expertise implementing statistical and computational methods in appropriate data intensive programming environments: e.g., python, R or Julia.
  • Demonstrated ability to effectively communicate about complex bioinformatics problems to peers, users and leadership.
  • Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational scientists and biologists.

In Addition
  • Specific familiarity with data analysis of Perturb-seq, scRNA-seq, CITE-Seq or scATAC-seq is a plus.
  • You are enthusiastic about working in a scientific environment, especially one that is related to drug discovery and development.
  • You are a quick learner, are curious about new areas and the opportunity to build expertise, and courageously and creatively take initiative to see your ideas implemented.
  • You are able to perform at a high level in a fast changing and demanding environment.

Corrada-Bravo Lab
Héctor Corrada Bravo is Principal Scientist in gRED’s Data Science and Statistical Computing group where he leads the Visualization and Interactive Data Analysis (VIDA) lab. He has extensive experience designing and developing methods and systems for analysis of high-throughput genomics, including epigenetic and single cell transcriptomic data, with a specific interest in the development of interpretability methods for deep learning applications in Biology. Prior to joining Genentech in June 2020, he was Associate Professor at the Center for Bioinformatics and Computational Biology at the University of Maryland in College Park. He holds a Ph.D. in Computer Science from the University of Wisconsin (advised by Grace Wahba) and completed a postdoctoral fellowship in Biostatistics at the Johns Hopkins Bloomberg School of Public Health (mentored by Rafael Irizarry).
Geiger-Schuller Lab
Katie Geiger-Schuller is a Senior Scientist in gRED’s Cellular and Tissue Genomics group where she develops new multi-modal high content screening technologies and applies them to understand cellular circuits in Neuroscience and Cancer Immunology. She has extensive training in single cell multi-omic screening, specifically in primary cell systems. Katie enjoys working at the interface of technological and computational development allowing innovations in either space to unlock new questions to better understand disease. Katie holds a PhD in Molecular Biophysics from Johns Hopkins University (advised by Doug Barrick) and completed her postdoctoral fellowship at the Broad Institute (mentored by Aviv Regev). 
Relocation benefits are available for this job posting
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