Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis
Required Experience And Skills
Hands on experience in performing analysis and interpreting biology with large-scale omics datasets including transcriptomics, single cell RNA-Seq is required, knowledge and experience in other omics modalities are preferred, including proteomics, metabolomics, lipidomics and epigenetics.
Proficiency in at least one programming language, such as R, Python, Perl or MatLab
Responsibilities
As a scientist in CMD, you will:
Be part of creative and enthusiastic teams working on target identification and validation (TIDVAL) for heart failure, NASH, fibrosis, inflammation, obesity, retinal diseases, and vascular disease
Work with dynamic cross-functional matrixed teams to support discovery activities.
Be responsible to adapt pipelines and create data analysis solutions to analyze large scale omics data (transcriptomics, genomic, genetic, metabolomic, proteomic) for TIDVAL.
Work with in-house, open-source and/or commercially available platforms for the processing and analyzing large datasets.
Engage and collaborate with wet lab scientists on experimental design, data analysis and interpretation, and mechanistic understanding of target biology.
Have a proven track record across a wide range of computational biological methods, including but not limited to: next generation sequence data analysis, especially bulk RNAseq and scRNAseq, and data mining
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
Staffing and Recruiting
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