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Remote Implementation Science Jobs in Naperville, IL

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE: The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

... Remote Type of Hire 4 months contract They strictly want candidates from Insurance/ Claim with risk management background. The Sr Data Scientist will design and implement machine learning and NLP ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Partner with product development teams to research, design and implement learning systems that ... Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics ...

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All JobsImplementation Science JobsRemote Implementation Science JobsRemote Implementation Science Jobs in Naperville, IL

Remote Implementation Science information

See Naperville, IL salary details

$26

$51

$80

How much do remote implementation science jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote implementation science in Naperville, IL is $51.33, according to ZipRecruiter salary data. Most workers in this role earn between $38.41 and $60.96 per hour, depending on experience, location, and employer.

What is the difference between Remote Implementation Science vs Remote Health Program Coordinator?

AspectRemote Implementation ScienceRemote Health Program Coordinator
Required CredentialsMaster's or PhD in public health, healthcare, or related fields; knowledge of research methodsBachelor's degree in health administration, public health, or related fields; experience in healthcare coordination
Work EnvironmentFocus on research, data analysis, and strategy development in healthcare settingsManage health programs, coordinate activities, and liaise with stakeholders remotely
Employer & Industry UsageAcademic institutions, research organizations, healthcare agenciesHospitals, clinics, public health departments

Remote Implementation Science professionals focus on applying research findings to improve healthcare practices through data analysis and strategy development. In contrast, Remote Health Program Coordinators manage and coordinate health programs, ensuring smooth operations and stakeholder communication. While both roles work remotely in healthcare, their core responsibilities and required qualifications differ significantly.

What are the most commonly searched types of Implementation Science jobs in Naperville, IL?

The most popular types of Implementation Science jobs in Naperville, IL are:

What are popular job titles related to Remote Implementation Science jobs in Naperville, IL?

For Remote Implementation Science jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Remote Implementation Science jobs in Naperville, IL look for?

The top searched job categories for Remote Implementation Science jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Implementation Science jobs?

Cities near Naperville, IL with the most Remote Implementation Science job openings:

Remote Implementation Science jobs near you
Infographic showing various Remote Implementation Science job openings in Naperville, IL as of August 2026, with employment types broken down into 74% Full Time, 11% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,768 per year, or $51.3 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Chicago, IL • Remote

$80 - $110/hr

Part-time

Posted 10 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.

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