Job:Job: Moderna Statistical genomics co-op 2022, single-cell applications in immunology, masters or PhDs
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@joycehsiao1-7425
Last seen 27 days ago
United States

Moderna is hiring a statistical genomics co-op in 2022 to work on single-cell genomics applications for immunology research (masters or PhD with experiences in single-cell omics data analysis, method development).

https://modernatx.wd1.myworkdayjobs.com/en-US/M_tx/job/Remote---US/Co-op--Computational-Science--Statistical-Genomics_R5989

The Role:

Moderna is seeking a talented and highly motivated master-level student to benchmark and implement single-cell computational methods. You will learn about current single-cell applications for immunology research and mRNA therapeutics. Candidates pursing a master's degree or PhD with experiences in R/Bioconductor and cloud computing are encouraged to apply.

Here’s What You’ll Do

  • Review and benchmark computational methods and tools for multimodal data integration, cell-cell communication modeling, cell type assignment, etc.
  • Formulate biological hypotheses using internal data and design experiments to address them
  • Collaborate with immunologists to carry out single-cell multiomics data analysis
  • Present results to cross-functional teams of computational and experimental scientists on a regular basis and at the end of the co-op

Qualifications

  • Currently enrolled in a graduate program

  • Master-level student with a background in statistics, genomics, computational biology, mathematics, bioinformatics, computer science, or related fields.

  • Some experiences with bioinformatics pipelines of next-generation sequencing data

  • Experiences with single-cell RNA-seq bioinformatics workflow and data analysis are preferred but not required

  • Proficiency in R and Python

  • Working knowledge of Git version control and cloud-computing (AWS preferred but not required)

  • Strong interests in real-world problems and telling stories with data

  • Strong written and oral communication skills in communicating technical knowledge to a non-expert audience

co-op immunology single-cell omics • 59 views
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