We are an immunology group of four PIs working on basic and clinically oriented studies relating to immunity and autoimmunity affecting the eye and vision. We are looking for a computational biologist/bioinformatician to work with us in analyzing diverse “omics” datasets derived from experimental and clinical samples: genomics, transcriptomics, proteomics and metabolomics. The types of data we generate include, but are not limited to, 16S and shotgun sequencing of bacterial genomes, multiparameter flow cytometric analyses, bulk and single-cell RNA-Seq, and proteomic analysis.
The successful candidate will have a PhD in Statistics, Biostatistics, Computer Science, Bioinformatics or related fields, with experience and interest in biology and/or the immune system. Proficiency in programming (R, Python, etc.) and ability to translate ideas into code is required, as is a proven track record of “omics” data analysis.
The computational scientist will work with wet bench and clinical researchers at various career stages and be able to assist them in data analysis, interpretation, and in understanding and using basic computational analysis tools. He/she will also contribute to drafting of presentations and manuscripts and will have co-authorship status in publications. Salary and benefits commensurate with experience.
If interested, please send CV, cover letter and names of 3 references to Rachel Caspi [email protected]
NIH is dedicated to building a diverse research community and is an equal opportunity employer.
To apply for this job email your details to firstname.lastname@example.org