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Remote Data Scientist Risk Jobs in Cary, NC (NOW HIRING)

micro1 AI

AI Training Specialist - Life Sciences

Cary, NC · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

Labcorp

Sr Curation Scientist

Durham, NC · On-site +1

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Red River

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

S. or foreign equivalent) in Computer Engineering, Computer Science or related field and five (5) ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

S. or foreign equivalent) in Computer Engineering, Computer Science or related field and five (5) ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Data Scientist Risk information

See Cary, NC salary details

$34.7K

$113.7K

$182K

How much do remote data scientist risk jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data scientist risk in Cary, NC is $113,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $126,000.00 per year, depending on experience, location, and employer.

Can you work remotely as a data scientist?

Remote data scientist roles are common in the industry, allowing professionals to work from home or other locations. These positions typically require strong skills in programming, data analysis, and tools like Python or R, and may involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for qualified candidates.
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Remote Data Scientist Risk jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Cary, NC • Remote

$90 - $120/hr

Part-time

Posted 11 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.

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