A research assistant job in statistical analysis (including algorithm design and evaluation) of large-scale single-cell and bulk RNA-seq data.
Specific Duties & Responsibilities
Design, analysis and evaluation of algorithms for analysis of large-scale single-cell and bulk RNA-seq data. This involves manuscript reading, implementation of algorithms in R, modifications of existing algorithms, methods benchmarking and involvement in manuscript writing.
Bachelor’s degree in related discipline. Some related experience. Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the * JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. *
Concurrent enrollment in a master’s or Ph.D. program in biostatistics or statistics.
Special Knowledge, Skills, and Abilities
A background in statistical genomics, especially the analysis of high-throughput count data. Familiarity with existing methods such as VOOM, edgeR, DESeq and ZINbWave. Familiarity with the statistical language R at the level of algorithm implementation. Familiarity with reproducible research approaches including tools such as Rmarkdown or Sweave.
The successful candidate(s) for this position will be subject to a pre-employment background check.
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