Metabolic Modeling Internship (1st)

Skokie, IL
Temporary
Student (College)

Welcome to the Post Pollution Future with LanzaTech

A post-pollution world is inevitable, and people will either be part of it, or the planet will go on without us. At LanzaTech, our technology platform is transforming waste carbon into everyday products, to meet the needs of this moment. Our science is state-of-the-art, but the idea is simple. We use nature to heal nature. We capture carbon emissions which are then fed into bioreactors where trillions of carbon-hungry microbes go to work. These tiny dynamos consume the waste gases and produce valuable raw material commodities. Pure enough to be resold, repurposed, and recycled again — from sustainable jet fuel to beverage bottles, to yoga pants.

Founded in New Zealand, we are a global women-led company with an international footprint and a diverse employee population. Diversity, Equity & Inclusion are a key part of our mission and core values which we show through our hiring, our leadership, our efforts to educate internally and willingness to learn.

Now a publicly traded company on NASDAQ, come join the team as we strive to make a Post Pollution Future!

Exciting collaborations with LanzaTech (LT) CarbonSmartTM Products:

  • 2022 – H&M announced their collaboration with LT with a clothing line to be launched in 2023
  • 2022 – Coty, Inc. – LT recycled carbon ethanol to be used in majority of fragrance portfolio by 2023
  • 2022 – DrogerieMark (dm) in Germany, launched a range of packaging for their “Denk Mit” range of dish soap
  • 2022 – Danone announced a collaboration to make packaging for the Mizone water line in China
  • 2022 – Craghoppers, UK outdoor company, made a fleece from recycled carbon, to be launched in 2023
  • 2021 – Collaborations with ZARA, lululemon & L’Oréal using recycled carbon in their apparel & packaging

Notable acknowledgments:

  • 2022 – Winner of “Air” Category at the 23rd Annual Energy Globe Awards
  • 2022 – Fix Our Climate finalist for Earthshot Prize (only US company to be a finalist)
  • 2022 – Jennifer Holmgren, CEO: TiE Sustainability Entrepreneur of the Year
  • 2021 – Biofuels Digest #1 Hottest Company in Renewable Fuels, Chemicals & Biomaterials

Interested in learning more? Visit us at www.LanzaTech.com and download/stream our latest CarbonSmartTM Podcast on Apple, Google, Spotify or wherever you receive your podcasts!

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.

About this role:

The Artificial Intelligence and Computational Biology (AICB) team at LanzaTech is seeking an intern for training in metabolic modeling. The intern will participate in model construction and curation. As a modeling intern, you will work directly with other team members and your AICB supervisors to create cutting-edge models. You will also develop new methods and metabolic maps to pave the way for accurate, fast, and intuitive analysis. Joining AICB is a great opportunity not only to achieve growth in the metabolic modeling area but also to learn computational skills and gain fermentation knowledge by engaging members within and beyond our team.

Responsibilities:

  •   Reconstruct and simulate metabolic models, explore simulation results, and draw conclusions for model improvements
  • Build modeling infrastructure to facilitate in silico analysis 
  • Visualize metabolic networks
  •    Keep code organized, well commented, and reusable

Qualifications:

  • Strong understanding of metabolic modeling, constraint-based models, and related algorithms (FBA, FVA etc.)
  •  Knowledge about microbial metabolism
  • Experience with metabolic modeling analytical tools, preferably COBRApy
  • Intermediate coding skills, preferably including Python
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