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Remote Implementation Science Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Remote Implementation Science information

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 Texas? The most popular types of Implementation Science jobs in Texas are:
What job categories do people searching Remote Implementation Science jobs in Texas look for? The top searched job categories for Remote Implementation Science jobs in Texas are:
What cities in Texas are hiring for Remote Implementation Science jobs? Cities in Texas with the most Remote Implementation Science job openings:
Infographic showing various Remote Implementation Science job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Mcallen, TX • Remote

$80 - $110/hr

Part-time

Posted 11 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.