Data Science Intern

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Enveda

Learning from life

201-500 employeesFounded 2019Boulder, COBiotechnology Research
Actively hiringPaidRemote-friendlyBiotechnology Research
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Best applied by Nov 17

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About the role#

As a Data Science Intern at Enveda, you will join our Data Science team to work on machine learning for mass spectrometry, computational biology, and computational chemistry. You will own a project from the initial scientific question through to the final result. Your work will directly inform how we apply AI and data science to drug discovery while you work alongside our team of scientists.

What you'll do#

  • Develop data-driven solutions tailored to the drug discovery industry.
  • Collaborate on machine learning for mass spectrometry.
  • Collaborate on computational biology and computational chemistry projects.
  • Own an individual project from the scientific question to the final result.

What you'll need#

  • Strong scientific reasoning and research skills, demonstrated through publications, preprints, a thesis, or specific projects.
  • Familiarity with LLMs and coding agents, including tool use, multi-step reasoning, and experience using them to build analyses.
  • Ability to write clear task specifications and validate AI output with tests, sanity checks, and controls.
  • Python proficiency for data analysis, including the ability to read, debug, and review code written by an AI tool.
  • A solid grasp of statistics, probability, and machine learning.
  • Ability to present scientific results clearly through data visualization and writing.
  • Experience with metabolomics data from LC-MS or NMR.
  • Current enrollment in a PhD program is strongly preferred.

Location & details#

  • This is a remote position.
  • You must be based in the United States or Canada.
  • This is a full-time, paid internship.
  • Hiring is on a rolling basis.
Relevant fieldsData Science

About Enveda

Enveda is a biotechnology company founded in 2019. It operates out of Boulder, Colorado, and maintains an office in Hyderabad. The company builds a database of chemical biodiversity to identify molecules from living organisms. These tools help the organization develop new medicines.

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