Note: The job is a remote job and is open to candidates in USA. Aequor is seeking a Computational Scientist for a 12-month contract role with possible extension. The position focuses on large-scale genetic and genomic data analysis, including association studies, molecular assay data, multimodal analyses, and computational workflows using R, Python, shell scripting, Git, and high-performance computing.
Skills
- Extensive experience in large-scale genetic/genomic data analysis including one or more of the following areas of expertise:
- Understanding of principles of genetic epidemiology
- Association analysis with array- and sequence-based genetic data (GWAS - genome-wide association studies) on human data
- Analysis of sequence-based molecular assay data (eg RNA-Seq) including differential expression methods, single-cell sequencing data (eg scRNA-Seq, scATAC-Seq) and/or proteomic data
- Integration of genetic and molecular data for multimodal analyses
- PhD (or Masters with significant experience) in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field
- Fluent in R, Python, and shell scripting. Some familiarity with C++ will be a plus
- Experience working with git and high performance computing (e.g. the SLURM scheduling manager)
- Curiosity and desire to learn more about human genetics, bioinformatics, and biology
- Ability to produce high-quality analysis results with minimal supervision. This includes meeting key deadlines and making sensible independent decisions
- Good communication skills and experience working as part of a team
Benefits
- Remote work arrangement
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