Computational Biologist
RNA Therapeutics, Design Team
Posted on 3/17/2023
Ginkgo Bioworks

1,001-5,000 employees

Engineering biology for diverse commercial applications.
Company Overview
Ginkgo Bioworks, Inc. stands out as a leading bioengineering company that leverages advanced biological manufacturing technology to design and optimize a wide range of commercial products, from vaccines to sustainable fashion materials. The company's commitment to diversity, equity, and inclusion (DEI) fosters a unique and inclusive culture, promoting a diverse workforce that contributes to its success. Furthermore, Ginkgo's ability to engineer biology for equitable distribution of benefits positions it as a key player in various industries, including healthcare, agriculture, and fashion.
Consumer Goods
Food & Agriculture

Company Stage


Total Funding





Boston, Massachusetts

Growth & Insights

6 month growth


1 year growth


2 year growth

Dorchester, Boston, MA, USA
Experience Level
Desired Skills
Data Structures & Algorithms
Biology & Biotech
  • Support Ginkgo's mammalian cell engineering teams with your expertise in mammalian biology, providing the knowledge needed to design, screen and test novel cell lines, vectors and molecules designing megabases of DNA for each project
  • Analyze integrated internal and external data to advance mammalian cell engineering programs focused on RNA therapeutic tool development
  • Help maintain computational biology software owned by the Design Team
  • Troubleshoot moderate- to high-complexity technical problems, proposing biological design solutions in the dry lab, and maintaining familiarity with protocols (e.g. cell culture, diagnostic/QC, assay design, and execution) in the wet lab
  • Collaborate with stakeholders across Ginkgo to create the next generation of synthetic biology tools (e.g. algorithms, data structures, predictive models, software pipelines, and/or experimental approaches) that yield step changes in our ability to engineer mammalian cell lines
  • Maintain high-quality documentation of your work and discoveries, creating written reports, technical presentations for internal or external audiences, electronic lab notebooks, internal database records, code comments, and software documentation
Desired Qualifications
  • PhD (or equivalent experience) in computational biology, genomics, RNA biology, mRNA therapeutics, quantitative biology, or other relevant field. Interdisciplinary work is strongly preferred
  • Subject matter expertise in RNA molecular biology, mRNA expression systems or mRNA therapeutics development as evidenced by publication in journals or patents
  • 2+ years of professional experience (grad school counts) working with mammalian genome engineering tools, such as CRISPR/Cas systems, recombinases, and viral vectors
  • Proficiency with at least one software programming language (Python preferred). Knowledge of best practices for collaborative software development (version control systems, test-driven development, and good documentation habits). Familiarity with cloud services (e.g. AWS) is preferred
  • First-hand technical experience in at least two of the following areas: synthetic biology, bioinformatics, RNA biology, structural RNA biology, transcriptomics, translatomics, gene regulation, post transcriptional regulation, sequence analysis, genomics, NGS analysis, machine learning, and quantitative modeling of biological systems
  • Demonstrated ability to meet the demands of multiple concurrent projects
  • Strong curiosity about (and comfort working in) areas of biology previously unknown to you and, at times, your peers