An affiliate of Colossal is seeking a talented computational biologist with strong analytical skills to tackle challenging genotype-to-phenotype questions. The successful candidate will collaborate with scientists and engineers to design and perform bioinformatics analyses and integrate genomic, epigenomic, transcriptomic, and proteomic datasets. The candidate must have experience in bioinformatics, computational biology, or comparative genomics.Preference will be given to candidates with a PhD who have experience leveraging and interpreting results of genotype-to-phenotype approaches that integrate across data sets, particularly applying diverse data (genomics, epigenomics, transcriptomics, proteomics) alongside functional annotations and ontologies to data-sparse or non-model organisms.**This position will be based on-site full time in the Dallas, TX office.Duties and Responsibilities:<ul><li>Run data analysis with biological data</li><li>Run comparative, functional, and statistical genomics analysis</li><li>Develop new tools in R/Python for data analysis and visualization</li><li>Prepare reports and presentations to communicate findings to wet-bench biologists</li></ul>Required Skills and Abilities:<ul><li>Two years of bioinformatics experience in the following areas: Comparative Genomics, Functional Genomics / Multi-Omics, Molecular Evolution, or Applied AI in Genomics.</li><li>Familiarity in producing and curating genomic resources (e.g., reference genomes and gene annotations) for vertebrate organisms, especially in non-traditional model systems.</li><li>Experience in the development of models to predict biological results or gene function, including variant detection, functional predictions, and genotype/phenotype relationships.</li><li>Capable of leveraging knowledge across multiple levels of biological organization to validate the outputs of complex, integrative analyses.</li><li>Demonstrated 2 years of experience with scripting languages, including but not limited to: Python, R, Perl, Ruby, Java, and BASH.</li><li>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.</li><li>Proficiency with handling large-scale genomic data in an HPC (SGE, SLURM, PBS) Linux and/or cloud environment (e.g. AWS, Google Cloud, Azure).</li><li>Experience in using GIT version control software and maintaining well-documented, reproducible notebooks and workflows.</li><li>Ability to design and maintain databases (MySQL, PostgreSQL, MongoDB) and connect with visual platforms to curate and share data with non-bioinformatics team members.</li></ul>Preferred Skills and Abilities:<ul><li>Calling germline and somatic sequence variants from high-coverage WGS, low-coverage WGS with imputation, and sequencing libraries from degraded or ancient DNA</li><li>Executing rigorous analyses of diverse functional epigenomics approaches (e.g., RNA-seq and ATAC-seq) and integrating multi-omics datasets to aid in understanding of gene expression regulation</li><li>Performing evolutionary and statistical genomics analyses, including population genetics analysis (e.g., runs of homozygosity and association mapping), genome-wide scans for evolutionary signatures and selective sweeps, and comparative genomics analyses associating genotype and phenotype (e.g., PAML inference of molecular evolution and phylogenetic regression)</li><li>Constructing, interpreting, and utilizing pangenome graphs, whole genome alignments, and gene homology relationships</li><li>Statistical planning and collaboration with laboratory scientists on designing well-powered experiments to generate useful multi-omics data sets</li><li>Developing or implementing AI/ML frameworks and systems biology networks (e.g., interpretable aka visible deep neural networks like GenNet) for genotype-to-phenotype and functional predictions</li><li>Understanding of precision gene editing technologies like CRISPR/Cas9 systems</li></ul>Education and Experience:<ul><li>Masters with 2 years of experience or PhD in quantitative or basic science (computer science, computational biology, bioinformatics, chemistry, physics, or mathematics preferred) is required</li></ul><div>What Colossal Offers You:<ul><li style="font-weight:400;">Medical, dental, and vision coverage</li><li style="font-weight:400;">Unlimited PTO and company holidays so you can rest and recharge </li><li style="font-weight:400;">Flexible spending accounts (FSA)</li><li style="font-weight:400;">Company matched 401k retirement plan</li><li style="font-weight:400;">Paid parental leave up to 12 weeks</li><li style="font-weight:400;">Education reimbursement </li><li style="font-weight:400;">An opportunity to help us return the Earth to a healthier state</li></ul>The team at Colossal is committed, colorful, passionate, intelligent, collaborative, creative, experienced, scientific and world-class. That sounds like a lot to fit into one building. That’s why we are spread out in several locations that include laboratories, test facilities, academic institutions, libraries and offices. Through it all, however, we maintain a culture of positivity, hope, happiness and belief that we’re doing something big. Something Colossal.Colossal is proud to be an equal employment opportunity workplace. We welcome people from all backgrounds as well as celebrate and support diversity. We are committed to providing an inclusive environment of mutual respect that is free from discrimination and harassment so everyone can thrive. <a href="https://www.eeoc.gov/after-june-27-2023-know-your-rights-workplace-discrimination-illegal">EEO is the Law </a>Search Firm Representatives: Colossal does not accept unsolicited assistance from search firms. No fees will be paid for a hired candidate where no pre-existing agreement is in place. We handle most recruitment in-house. Colossal is proud to be named a Best Place to Work by BuiltIn for 3 years in a row across multiple categories in 2023, 2024, and 2025:<ul><li>#1 on the 50 Best Startups to Work For in Dallas in 2023!</li><li>100 Best Midsize Places to Work in Dallas in 2024 &amp; 2025</li><li>100 Best Places to Work in Dallas, TX (All Size Employers) in 2024 &amp; 2025</li></ul> <a href="https://builtin.com/awards/dallas/2025/best-midsize-places-to-work">Built In 2025 Award Lists</a><a href="https://www.greatplacetowork.com/certified-company/7049203">Great Place to Work Certification Page</a><a href="https://mostlovedworkplace.com/companies/colossal-biosciences/">Most Loved Workplace Certification Page</a> - Proud to be certified as a most loved workplace including: most loved CEO, most loved workplaces for LGBTQ+, most loved workplaces for women, and most loved workplaces for young professionals.<a href="https://www.newsweek.com/rankings/most-loved-workplaces-2024?utm_campaign=dr_2024_oct_webinar_final&amp;utm_medium=email&amp;_hsenc=p2ANqtz-8dglCEGpx_mr-HYudRKFhj4L6PhGDkf92pJJMpxovuNaX_Y7rdOFsgX6dEGZnNK9O_RP1gd54PPR7yib9CZjvG7FT4IA&amp;_hsmi=328042950&amp;utm_content=see_list&amp;utm_source=newlsetter">Newsweek's Most Loved Workplaces 2024 Award List</a> - Excited to be amongst the winners of Newsweek's 2024 Most Loved Workplaces! <img src="https://employers.builtin.com/wp-content/uploads/2023/09/2024BPTW_GeneralBadgeYear_AllWhite-1-281x300.png" style="max-width:100%;">   <img src="https://www.greatplacetowork.com/images/profiles/7049203/companyBadge.png?20240207" style="max-width:100%;">     <img src="https://pbs.twimg.com/media/FvJDPn0aEAAwgAH?format=jpg&amp;name=small" style="max-width:100%;">    <img src="https://colossal.com/wp-content/uploads/time-100.png" style="max-width:100%;"> <img src="https://imageio.forbes.com/dam/imageserve/65e730dcd08766cc9dbcdb47/x.jpg?format=jpg&amp;height=183&amp;width=255&amp;fit=bounds" style="max-width:100%;"> </div>

The science of genetics. The business of discovery.
Colossal is a breakthrough bioscience and genetic engineering company that builds radical new technologies to advance the field of genomics. Colossal creates disruptive technologies for extinct species restoration, critically endangered species protection and the repopulation of critical ecosystems that support the continuation of life on Earth. The company is the first to apply CRISPR technology for the purposes of species de-extinction, beginning with the woolly mammoth. Colossal is accepting humanity&rsquo;s duty to restore Earth to a healthier state, while also solving for the future economies and biological necessities of the human condition through cutting-edge science and technologies.

Scientist, Computational Biology

An affiliate of Colossal is seeking a talented computational biologist with strong analytical skills to tackle challenging genotype-to-phenotype questions. The successful candidate will collaborate with scientists and engineers to design and perform bioinformatics analyses and integrate genomic, epigenomic, transcriptomic, and proteomic datasets. The candidate must have experience in bioinformatics, computational biology, or comparative genomics.Preference will be given to candidates with a PhD who have experience leveraging and interpreting results of genotype-to-phenotype approaches that integrate across data sets, particularly applying diverse data (genomics, epigenomics, transcriptomics, proteomics) alongside functional annotations and ontologies to data-sparse or non-model organisms.**This position will be based on-site full time in the Dallas, TX office.Duties and Responsibilities:<ul><li>Run data analysis with biological data</li><li>Run comparative, functional, and statistical genomics analysis</li><li>Develop new tools in R/Python for data analysis and visualization</li><li>Prepare reports and presentations to communicate findings to wet-bench biologists</li></ul>Required Skills and Abilities:<ul><li>Two years of bioinformatics experience in the following areas: Comparative Genomics, Functional Genomics / Multi-Omics, Molecular Evolution, or Applied AI in Genomics.</li><li>Familiarity in producing and curating genomic resources (e.g., reference genomes and gene annotations) for vertebrate organisms, especially in non-traditional model systems.</li><li>Experience in the development of models to predict biological results or gene function, including variant detection, functional predictions, and genotype/phenotype relationships.</li><li>Capable of leveraging knowledge across multiple levels of biological organization to validate the outputs of complex, integrative analyses.</li><li>Demonstrated 2 years of experience with scripting languages, including but not limited to: Python, R, Perl, Ruby, Java, and BASH.</li><li>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.</li><li>Proficiency with handling large-scale genomic data in an HPC (SGE, SLURM, PBS) Linux and/or cloud environment (e.g. AWS, Google Cloud, Azure).</li><li>Experience in using GIT version control software and maintaining well-documented, reproducible notebooks and workflows.</li><li>Ability to design and maintain databases (MySQL, PostgreSQL, MongoDB) and connect with visual platforms to curate and share data with non-bioinformatics team members.</li></ul>Preferred Skills and Abilities:<ul><li>Calling germline and somatic sequence variants from high-coverage WGS, low-coverage WGS with imputation, and sequencing libraries from degraded or ancient DNA</li><li>Executing rigorous analyses of diverse functional epigenomics approaches (e.g., RNA-seq and ATAC-seq) and integrating multi-omics datasets to aid in understanding of gene expression regulation</li><li>Performing evolutionary and statistical genomics analyses, including population genetics analysis (e.g., runs of homozygosity and association mapping), genome-wide scans for evolutionary signatures and selective sweeps, and comparative genomics analyses associating genotype and phenotype (e.g., PAML inference of molecular evolution and phylogenetic regression)</li><li>Constructing, interpreting, and utilizing pangenome graphs, whole genome alignments, and gene homology relationships</li><li>Statistical planning and collaboration with laboratory scientists on designing well-powered experiments to generate useful multi-omics data sets</li><li>Developing or implementing AI/ML frameworks and systems biology networks (e.g., interpretable aka visible deep neural networks like GenNet) for genotype-to-phenotype and functional predictions</li><li>Understanding of precision gene editing technologies like CRISPR/Cas9 systems</li></ul>Education and Experience:<ul><li>Masters with 2 years of experience or PhD in quantitative or basic science (computer science, computational biology, bioinformatics, chemistry, physics, or mathematics preferred) is required</li></ul><div>What Colossal Offers You:<ul><li>Medical, dental, and vision coverage</li><li>Unlimited PTO and company holidays so you can rest and recharge&nbsp;</li><li>Flexible spending accounts (FSA)</li><li>Company matched 401k retirement plan</li><li>Paid parental leave up to 12 weeks</li><li>Education reimbursement&nbsp;</li><li>An opportunity to help us return the Earth to a healthier state</li></ul>The team at Colossal is committed, colorful, passionate, intelligent, collaborative, creative, experienced, scientific and world-class. That sounds like a lot to fit into one building. That’s why we are spread out in several locations that include laboratories, test facilities, academic institutions, libraries and offices.&nbsp;Through it all, however, we maintain a culture of positivity, hope, happiness and belief that we’re doing something big. Something Colossal.Colossal is proud to be an equal employment opportunity workplace. We welcome people from all backgrounds as well as celebrate and support diversity. We are committed to providing an inclusive environment of mutual respect that is free from discrimination and harassment so everyone can thrive.&nbsp;<a href="https://www.eeoc.gov/after-june-27-2023-know-your-rights-workplace-discrimination-illegal">EEO is the Law&nbsp;</a>Search Firm Representatives: Colossal does not accept unsolicited assistance from search firms. No fees will be paid for a hired candidate where no pre-existing agreement is in place. We handle most recruitment in-house.&nbsp;Colossal is proud to be named a Best Place to Work by BuiltIn for 3 years in a row across multiple categories in 2023, 2024, and 2025:<ul><li>#1 on the 50 Best Startups to Work For in Dallas in 2023!</li><li>100 Best Midsize Places to Work in Dallas in 2024 &amp; 2025</li><li>100 Best Places to Work in Dallas, TX (All Size Employers) in 2024 &amp; 2025</li></ul> <a href="https://builtin.com/awards/dallas/2025/best-midsize-places-to-work">Built In 2025 Award Lists</a><a href="https://www.greatplacetowork.com/certified-company/7049203">Great Place to Work Certification Page</a><a href="https://mostlovedworkplace.com/companies/colossal-biosciences/">Most Loved Workplace Certification Page</a> - Proud to be certified as a most loved workplace including: most loved CEO, most loved workplaces for LGBTQ+, most loved workplaces for women, and most loved workplaces for young professionals.<a href="https://www.newsweek.com/rankings/most-loved-workplaces-2024?utm_campaign=dr_2024_oct_webinar_final&amp;utm_medium=email&amp;_hsenc=p2ANqtz-8dglCEGpx_mr-HYudRKFhj4L6PhGDkf92pJJMpxovuNaX_Y7rdOFsgX6dEGZnNK9O_RP1gd54PPR7yib9CZjvG7FT4IA&amp;_hsmi=328042950&amp;utm_content=see_list&amp;utm_source=newlsetter">Newsweek's Most Loved Workplaces 2024 Award List</a> - Excited to be amongst the winners of Newsweek's 2024 Most Loved Workplaces!&nbsp;<img src="https://employers.builtin.com/wp-content/uploads/2023/09/2024BPTW_GeneralBadgeYear_AllWhite-1-281x300.png">&nbsp; &nbsp;<img src="https://www.greatplacetowork.com/images/profiles/7049203/companyBadge.png?20240207">&nbsp; &nbsp; &nbsp;<img src="https://pbs.twimg.com/media/FvJDPn0aEAAwgAH?format=jpg&amp;name=small"> &nbsp; &nbsp;<img src="https://colossal.com/wp-content/uploads/time-100.png"> <img src="https://imageio.forbes.com/dam/imageserve/65e730dcd08766cc9dbcdb47/x.jpg?format=jpg&amp;height=183&amp;width=255&amp;fit=bounds">&nbsp;</div>

Scientist, Computational Biology

About the Job

About the Company

Colossal Biosciences

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