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Computational Biologist Modeler

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

LanzaTech has developed extensive metabolic modeling capability around our novel gas fermentation platform. This modeling capability is used to guide scientific, engineering and business decisions.

You will use your expert knowledge of microbial metabolism to computationally design, develop and refine new microbial strains that specialize in making chemicals from pollution. You will participate in the design-build-test feedback loop with scientists and engineers across the company to refine these strain designs and contribute to the ongoing development and refinement of our models.

Key duties

  • Integrate metabolomic, genomic, proteomic and transcriptomic data sets to solve deep biological problems
  • Contribute to ongoing development and refinement of genome annotations, metabolic knowledgebases and metabolic models
  • Design in silico experiments for biological discovery, computational strain design, process optimization and the prediction of cellular phenotypes.
  • Carry out in silico experiments using the latest metabolic modeling technology
  • Clearly document work and methods by integrating code and narrative text in Jupyter notebooks
  • Communicate your findings, insights and conclusions to other scientific teams
  • Present summary of results to group in weekly meetings

Education & Experience


  • PhD in computational biology, quantitative biology, bioinformatics, computational systems biology or equivalent
  • Strong knowledge of microbial biochemistry
  • Significant exposure to prokaryotic biology with emphasis on metabolism, ideally to a gas fermenting acetogen
  • Deep knowledge of the principles behind genome-scale modeling, flux balance analysis and associated techniques
  • Expert user of genome-scale modeling tools such as cobrapy, cameo, Escher, OptFlux, COBRA Toolbox
  • Intermediate Python knowledge or expert in another programming language
  • Team player balanced with strong individual initiative


  • Industry experience highly desirable
  • Exposure to microbial fermentation highly desirable
  • Experience with Gurobi, CPLEX, TOMLAB
  • Experience with Docker, Kubernetes, Travis CI, Git
  • Experience designing interactive data visualizations using Bokeh, R Shiny or Tableau
  • Experience with ME and GEM-Pro genome-scale models, kinetic models and whole-cell models
  • Experience in synthetic biology

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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