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Remote Data Scientist Risk Jobs in Wilmington, NC

Your work will directly improve how these systems identify risk and interpret contract language to ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Technology Transactions Counsel

Wilmington, NC · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... This person will initially focus on data-licensing agreements, inbound technology transactions ...

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Remote Data Scientist Risk information

See Wilmington, NC salary details

$34.9K

$114.4K

$183.1K

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

As of Aug 30, 2026, the average yearly pay for remote data scientist risk in Wilmington, NC is $114,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Data Scientist Risk jobs in Wilmington, NC?

The most popular types of Data Scientist Risk jobs in Wilmington, NC are:

What are popular job titles related to Remote Data Scientist Risk jobs in Wilmington, NC?

For Remote Data Scientist Risk jobs in Wilmington, NC, the most frequently searched job titles are:

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The top searched job categories for Remote Data Scientist Risk jobs in Wilmington, NC are:

What cities near Wilmington, NC are hiring for Remote Data Scientist Risk jobs?

Cities near Wilmington, NC with the most Remote Data Scientist Risk job openings:

Infographic showing various Remote Data Scientist Risk job openings in Wilmington, NC as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,376 per year, or $55 per hour.

Bioinformatics Research Scientist - AI Reviewer

Wilmington, NC • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 27 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.