Scientist, Computational Biology

Colossal is seeking a talented computational biologist with strong analytical skills to tackle challenging bioinformatics and computational biology problems. The successful candidate will work collaboratively with scientists and engineers to run analysis, develop and test new analysis methods, and develop new visualization tools to support Colossal’s de-extinction effort. The candidate must have some experience in bioinformatics, computational biology, or comparative genomics.

Preference will be given to candidates with a PhD and who have experience in developing ML/AI methods in genomics, comparative genomics across mammals, and in genotype to phenotype prediction including molecular evolution, pathway analysis, and phenotype/genotype associations.

**This position will be based out of Dallas, TX office or remote with 1-2 yearly site visits

Duties and Responsibilities:

• Run data analysis with biological data
• Run Comparative Genomics Analysis
• Develop new tools in R/Python for data analysis and visualization
• Prepare reports and presentations to communicate findings to wet-bench biologist

Required Skills and Abilities:

• Experience in the development of models to predict biological results or gene function including variant detection, variant functional prediction, protein function, and genotype/phenotype relationship.
• Comparative Genomics Experience
• Ability to write and run custom bioinformatics scripts using existing published tools and occasionally tools developed to summarize the results in a digestible manner and deliver the information using established reporting procedures. 
• Ability to design and maintain databases (MySQL, PostgreSQL, MongoDB) to curate data.
• 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 with GIT version control software
• Two years of bioinformatics experience in the following areas: (1) Comparative Genomics; Molecular Evolution or Applied AI in Genomics
• Experience with Genotype/Phenotype Association Studies

Education and Experience:

• Masters with 2 years of experience or PhD in quantitative or basic science (computer science, computational biology, bioinformatics, chemistry, physics, or mathematics preferred);