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Remote Data Science Internships Jobs in Missouri

Alumis

Medical Science Liaison

Kansas City, MO · On-site +1

$19K/yr

... of data * Attend and report on assigned medical conferences * Collaborate with KOLs on medical ... Experience in a start-up environment is a plus This position is primarily remote. The salary range ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

Assess potential differences in metadata, data format, and data structure characteristics in regard ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Jobgether

Join a remote-first technology environment where high-quality data powers business growth and ... Bachelor's degree in Computer Science or another relevant technical discipline. Benefits

Jobgether

$97K - $128K/yr

... a remote-first, innovative environment. You will combine strategic thinking, technical ... Partner closely with engineering, data science, leadership, and go-to-market teams to define ...

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Remote Data Science Internships information

What is the difference between Remote Data Science Internships vs Remote Data Analyst Internships?

AspectRemote Data Science InternshipsRemote Data Analyst Internships
Required SkillsProgramming (Python, R), statistics, machine learningData visualization, SQL, basic statistics
Work EnvironmentCollaborative teams, research-focusedBusiness analysis, reporting
Industry UsageTech, finance, healthcareRetail, marketing, finance

Remote Data Science Internships focus on developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analyst Internships emphasize data interpretation, visualization, and reporting. Both roles are remote, but they serve different functions within organizations, with data science being more technical and analytical, while data analysis centers on business insights.

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Remote Data Science Internships jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Independence, MO • Remote

$70 - $90/hr

Part-time

Posted 9 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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