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Developer for Computational Biology

About LanzaTech

LanzaTech is turning our global carbon crisis into a feedstock opportunity with the potential to displace 30% of crude oil use today and reduce global CO2 emissions by 10%. LanzaTech’s carbon recycling technology is like retrofitting a brewery onto an emission source like a steel mill, but instead of using sugars and yeast to make beer, bacteria convert pollution to products! Imagine a day when you can power a plane by recycled carbon emissions, when your yoga pants or sneakers started life as pollution from a steel mill. This future is possible using LanzaTech technology with the first 2 commercial units converting steel mill waste gases to fuels being built; in China with Shougang and in Belgium with the world’s largest steel maker, ArcelorMittal. LanzaTech has an additional 3 commercial projects in the pipeline, in India, South Africa and California. LanzaTech has already produced synthetic jet fuel from recycled carbon emissions and has a partnership with Virgin Atlantic.

In 2017, LanzaTech was recognized as the #1 Hottest company in the Advanced Bioeconomy by Biofuels Digest, the world’s most widely-read bioeconomy daily. The company was also inaugurated into the Cleantech100 Hall of Fame, having been listed in the top 100 cleantech companies over the last 7 years. In 2016, the company won the Young Global Leader Award for Circular Economy at the World Economic Forum, LanzaTech was also the top biofuels company in the 2016 CNBC Disruptor 50 Companies list.  In 2015, LanzaTech was awarded the U.S. EPA Presidential Green Chemistry Award for Greener Synthetic Pathways. The company’s accomplishments were recognized through a number of prestigious awards in 2014, including the Guardian Sustainable Business Innovation Award for Carbon and Energy Management, Breakthrough Innovation Award at the Platts Global Metals Awards, and the Technical Development Award from the World Petroleum Council. In 2013, the company was named a World Economic Forum Technology Pioneer.

About The Role:

You are a well rounded scientific computing developer with an agile philosophy who is well versed in gathering user requirements and translating these into robust software solutions. Working with the computational biology team and with scientists and engineers across the organization, you will employ your full stack front end skills, knowledge of database design and architecture, Perl/ Python expertise and facility with PHP/ symphony or Ruby/ Rails, to:

  • Design and develop dynamic web applications connecting scientists and engineers to “omics” databases,
  • Provide access to and visualization of these data through responsive, intuitive and convenient graphical interfaces,
  • Execute  statistical computing programs in collaboration with other member of the computational biology group, deseminating the results via web, for example via the R “Shiney” package, and  with documentation in jupyter notebooks
  • Maintain and extend existing applications cast in PHP/ symphoney and Ruby/ Rails,
  • Formalize data analysis pipelines and reduce them to code

You are a team player who scrupulously documents your work. You are generous in sharing your knowledge with your team mates, and you expect to learn from them in return. You thrive in an agile goal oriented environment.  You are customer oriented. You operate comfortably in Linux.


  • Bachelors degree in computer science or equivalent experience and professional certifications
  • Accomplished full stack  dynamic front end developer (CSS, JavaScript Frameworks )
  • Strong UI and visualization design sense
  • Agile development style and mindset
  • Statistical computing in R including R’s web framework Shiny
  • Perl and/or Python
  • PHP/symphony and/or Ruby/Rails
  • Experience in building data analysis pipelines and integrating these with database back and front ends
  • Experience in Database Design, implementation and Administration in MySQL and PostgreSQL
  • Fluent in Linux; working knowledge of windows
  • Working experience in high throughput biology environment
  • Team player balanced with strong individual initiative
  • Scrupulous documentation & excellent communication


  • Industry experience highly desirable
  • Experience in statistical learning highly desirable
  • Experience with Pipeline Pilot or KNIME
  • Experience programming robotic platforms
  • Significant exposure to prokaryotic biology  with emphasis on metabolism
  • Experience in high throughput biology environment
  • Experienced user of standard Bioinformatics tools such as MEME, BLAST etc
  • Experienced NGS analyst
  • Experience integrating metabolomics, genomic, proteomic and transcriptomic data sets
  • C/C++
  • Unix system administration skills and experience

This position is open to candidates authorized to work in the United States on a full-time basis for any employer. LanzaTech is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.


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