Sr Bioinformatics Engineer

Twist BioScience
Job Location
455 Mission Bay Boulevard South
San Francisco, CA 94158
Job Description

Programmable DNA, the software of Life, is finally here! Twist Bioscience is developing a disruptive Synthetic DNA technology that will change the world, enabling widespread health and sustainability. Synthetic biologists will use our products to engineer how organisms produce cures to diseases, everyday chemicals are made using the atmosphere as the carbon source, plants make their own fertilizers, in-vivo diagnostics will alert us when we are sick, and many more applications.

The Bioinformatics and Biosecurity group at Twist is currently seeking a Senior Bioinformatics Engineer to help scale DNA synthesis. In collaboration with biologists, chemists, physicists and software developers, the successful candidate will use a variety of methods including software development, algorithm development, statistics, and data visualization to analyze and interpret biological data including next generation sequencing results.


  • Developing scalable bioinformatics algorithms, pipelines and tools to solve complex, distributed computing challenges
  • Providing statistics, scientific computing and data analysis support to research, product development and manufacturing operations.

Required Experience:

  • BS in bioinformatics or related field with 6-8 years industry experience or MS/PhD in bioinformatics or related field with 4-6 years industry experience
  • Advanced proficiency in Python, R or Rust in a Linux environment
  • Broad experience with NGS data analysis, manipulation and presentation (in Python or R)
  • Excellent data analysis and visualization skills (in Python, R and using tools like Tableau)
  • Excellent understanding of molecular biology, with an emphasis on DNA chemistry preferred
  • Proven ability to synthesize and present conclusions from complex analyses in a clear and visually compelling way

 Preferred Experience: 

  • Familiarity with common tools and file formats for genome-scale interval data manipulation and analysis (e.g. bedtools, bedops, etc.)
  • Formal software development experience, the software development lifecycle, unit and functional testing (via py.test) and version control via Git
  • Familiarity with database (PostgreSQL, NoSQL and Redshift) design, implementation and efficient query construction
  • Experience building and using Docker containers
  • Familiarity with cloud-based computing environments, especially Amazon Web Services
  • Experience using workflow management tools (e.g. Airflow, Galaxy, Luigi)
  • Familiarity with web application development including building REST-ful interfaces
  • Familiarity with DNA analysis software (MacVector, VectorNTI, SnapGene) 

US Citizens, EAD and Green card only. Background check, employment and education verification, and professional references are required.


How to Apply
About Our Organization

About Twist Bioscience

At Twist Bioscience, our expertise is accelerating science and innovation by leveraging the power of scale. We have developed a proprietary semiconductor-based synthetic DNA manufacturing process featuring a 10,000-well high throughput silicon platform capable of producing synthetic biology tools, including genes, oligonucleotide pools and variant libraries. By synthesizing DNA on silicon instead of on traditional 96-well plastic plates, our platform overcomes the current inefficiencies of synthetic DNA production, and enables cost-effective, rapid, high-quality and high throughput synthetic gene production, which in turn, expedites the design, build, test cycle to enable personalized medicines, pharmaceuticals, sustainable chemical production, improved agriculture production, diagnostics, biodetection and data storage. For more information, please visit Twist Bioscience is on Twitter. Sign up to follow our Twitter feed @TwistBioscience at

Twist Bioscience is an equal opportunity employer.

An analysis appearing in PeerJ finds that social media mentions of a paper may lead to increased citations.

NIH's Michael Lauer looks at the number of grants, their amount, and funding success rates at the agency for last year.

At Nature, Johns Hopkins' Gundula Bosch describes her graduate program that aims to get doctoral students thinking about the big picture.

Patricia Fara writes about childcare funding, and women in science and science history at NPR.