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Data Science Co Op Remote Jobs in Florida (NOW HIRING)

Whatever your title, whatever your role - it always comes back to this: we're a farmer-owned co-op ... We are open to remote candidates. In this role, the Environmental Engineer is responsible for ...

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Data Science Co Op Remote information

What is the difference between Data Science Co Op Remote vs Data Analyst Intern Remote?

AspectData Science Co Op RemoteData Analyst Intern Remote
Required CredentialsEnrolled in or recent graduate of a data-related program, some programming skillsEnrolled in or recent graduate of a data, statistics, or related program, basic analytical skills
Work EnvironmentRemote, collaborative team projects, mentorship opportunitiesRemote, focused on data analysis tasks, supervised by analysts or managers
Employer & Industry UsageTech, finance, healthcare companies offering structured co-op programsVarious industries, often as part of internship programs for entry-level experience

The main difference is that Data Science Co Op Remote roles focus on developing data science skills, including programming and modeling, while Data Analyst Intern Remote positions emphasize data analysis and reporting. Both are remote, entry-level roles that provide valuable industry experience, but they target different skill sets within the data field.

What are the most commonly searched types of Data Science Remote jobs in Florida?

The most popular types of Data Science Remote jobs in Florida are:

What are popular job titles related to Data Science Co Op Remote jobs in Florida?

For Data Science Co Op Remote jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Science Co Op Remote jobs in Florida look for?

The top searched job categories for Data Science Co Op Remote jobs in Florida are:

What cities in Florida are hiring for Data Science Co Op Remote jobs?

Cities in Florida with the most Data Science Co Op Remote job openings:

Infographic showing various Data Science Co Op Remote job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Orlando, FL • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.