Combining the science of genetics with the business of discovery, we are moving de-extinction forward by resurrecting the Woolly Mammoth through gene editing.
About the role
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What they're looking for
- Two years of bioinformatics experience in the following areas: Functional Genomics / Multi-Omics, Comparative Genomics, Molecular Evolution, or Applied Statistics in Genomics
- Capable of leveraging knowledge across multiple levels of biological organization to validate the outputs of complex, integrative analyses
- Demonstrated 2 years of experience with scripting languages, including but not limited to: Python, R, Perl, Ruby, Java, and BASH
- Proficiency with handling large-scale genomic data in an HPC (SGE, SLURM, PBS) Linux and/or cloud environment (e.g. AWS, Google Cloud, Azure)
- Experience in using GIT version control software and maintaining well-documented, reproducible notebooks and workflows
- Ability to design and maintain databases (MySQL, PostgreSQL, MongoDB) and connect with visual platforms to curate and share data with non-bioinformatics team members
More about this role
An affiliate of Colossal is seeking a talented Senior Research Associate in computational biology with strong analytical skills to tackle challenging genotype-to-phenotype questions. The successful candidate will collaborate with scientists and engineers to perform bioinformatics analyses and integrate genomic, epigenomic, transcriptomic, and proteomic datasets to support Colossal Bioscience’s de-extinction efforts. The candidate must have experience in bioinformatics or computational biology.
Preference will be given to candidates with a Masters degree who have experience analyzing and integrating diverse omics modalities (e.g., genomics, epigenomics, transcriptomics, proteomics) using functional annotations and ontologies in the context of data-sparse or non-model organisms.
This position will be based on-site in Dallas, TX. Relocation assistance is available.
- Run data analysis with biological data
- Run comparative, functional, and statistical genomics analysis
- Develop new tools in R/Python for data analysis and visualization
- Maintain electronic laboratory records and prepare reports or presentations to communicate findings to wet-bench biologists and leadership
- Two...
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