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Remote Nhl Data Science Jobs in Indiana (NOW HIRING)

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Collaborate with advanced data science, data quality, market research and other Analytics teams to ... Position permits remote work up to 5 days per week throughout the U.S. EOE/M/F/Vet/Disability ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Showing results 41-60

Remote Nhl Data Science information

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

AspectRemote Nhl Data ScienceRemote Nhl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentFocus on developing predictive models, advanced analytics, and machine learning algorithmsFocus on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageUsed by sports teams, analytics firms, and media for strategic insightsUsed by teams, broadcasters, and sports organizations for reporting and insights

Remote Nhl Data Science involves building predictive models and advanced analytics, requiring programming and machine learning skills. Remote Nhl Data Analysts focus on interpreting data, creating reports, and supporting strategic decisions. Both roles are essential in the sports industry but differ in technical complexity and focus areas.

What are the most commonly searched types of Nhl Data Science jobs in Indiana?

The most popular types of Nhl Data Science jobs in Indiana are:

What cities in Indiana are hiring for Remote Nhl Data Science jobs?

Cities in Indiana with the most Remote Nhl Data Science job openings:

Medical Microbiology Consultant - Remote

micro1 AI

South Bend, IN • Remote

$70 - $90/hr

Part-time

Posted 24 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.