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Remote Amazon Data Science Jobs in Graham, NC (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Raleigh, NC · On-site +1

$90 - $120/hr

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

micro1 AI

Cheminformatics Specialist - Remote

Cary, NC · On-site +1

$90 - $120/hr

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

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ...

IQVIA

Data Analytics Analyst II

Durham, NC · Remote

$56K - $140K/yr

... life sciences industry. IQVIA possesses the largest and most comprehensive set of healthcare data ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

Redhat

Senior AI FinOps Data Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

Bachelor's degree in Information Technology, Data Analytics, Computer Science, or a related field ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Amazon Data Science information

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

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What job categories do people searching Remote Amazon Data Science jobs in Graham, NC look for? The top searched job categories for Remote Amazon Data Science jobs in Graham, NC are:
What cities near Graham, NC are hiring for Remote Amazon Data Science jobs? Cities near Graham, NC with the most Remote Amazon Data Science job openings:
Remote Amazon Data Science jobs near you
Infographic showing various Remote Amazon Data Science job openings in Graham, NC as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Raleigh, NC • On-site, Remote

$90 - $120/hr

Part-time

Posted 13 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic 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.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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