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Remote Implementation Science Jobs in Cincinnati, OH

MM International

SDET - 100 % Remote

Cincinnati, OH · Remote

$51.25 - $66/hr

... implementation, and test execution within the agile team and ART(s) · Implement high-quality ... degree in computer science/information systems or equivalent combination of education and ...

Tetra Tech

Senior Project Manager

Cincinnati, OH · On-site +1

This position will support implementation and business development efforts for environmental ... Why Tetra Tech At Tetra Tech, we are Leading with Science to solve the world's most complex ...

Danaher

Channel Sales Manager

Cincinnati, OH · Remote

$145K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... This role is fully remote. This position reports to the Director of Applied, Sample Prep and ...

micro1 AI

Bioinformatics Software Engineer

Cincinnati, OH · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

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Remote Implementation Science information

See Cincinnati, OH salary details

$25

$49

$77

How much do remote implementation science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote implementation science in Cincinnati, OH is $49.32, according to ZipRecruiter salary data. Most workers in this role earn between $36.92 and $58.61 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 Cincinnati, OH?

The most popular types of Implementation Science jobs in Cincinnati, OH are:

What are popular job titles related to Remote Implementation Science jobs in Cincinnati, OH?

For Remote Implementation Science jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Remote Implementation Science jobs in Cincinnati, OH look for?

The top searched job categories for Remote Implementation Science jobs in Cincinnati, OH are:

Remote Implementation Science jobs near you
Infographic showing various Remote Implementation Science job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $102,595 per year, or $49.3 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Cincinnati, OH • Remote

$80 - $110/hr

Part-time

Posted 20 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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