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Remote Implementation Science Jobs in Detroit, MI

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Detroit, MI · Remote

$80 - $110/hr

Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Dearborn, MI · Remote

$80 - $110/hr

Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Kla

Full-Stack Software Engineer - Remote Services

Ann Arbor, MI · Remote

$105K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Develop automated testing strategies and implement CI/CD pipelines for deployments. * Troubleshoot ...

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Remote Implementation Science information

See Detroit, MI salary details

$26

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How much do remote implementation science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote implementation science in Detroit, MI is $50.89, according to ZipRecruiter salary data. Most workers in this role earn between $38.08 and $60.43 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 popular job titles related to Remote Implementation Science jobs in Detroit, MI?

For Remote Implementation Science jobs in Detroit, MI, the most frequently searched job titles are:

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The top searched job categories for Remote Implementation Science jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Implementation Science jobs?

Cities near Detroit, MI with the most Remote Implementation Science job openings:

Remote Implementation Science jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Warren, MI • 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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