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Remote Dot Drug Testing Jobs in Texas (NOW HIRING)

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

... drug discovery scenarios. * Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated outputs ...

Showing results 41-60

Remote Dot Drug Testing information

What is the difference between Remote Dot Drug Testing vs Mobile Drug Testing Technician?

AspectRemote Dot Drug TestingMobile Drug Testing Technician
CertificationsDOT compliance, drug testing certificationsDOT compliance, drug testing certifications
Work EnvironmentRemote coordination, administrative tasksOn-site drug testing at various locations
Industry UsageTransportation, safety-sensitive industriesTransportation, construction, industrial sites

Remote Dot Drug Testing primarily involves coordinating and managing drug testing processes remotely, while Mobile Drug Testing Technicians perform on-site testing at different locations. Both roles require similar certifications but differ in work environment and daily tasks. Understanding these differences helps employers and job seekers find the right fit within the drug testing industry.

What are the most commonly searched types of Dot Drug Testing jobs in Texas?

The most popular types of Dot Drug Testing jobs in Texas are:

What are popular job titles related to Remote Dot Drug Testing jobs in Texas?

For Remote Dot Drug Testing jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Remote Dot Drug Testing jobs?

Cities in Texas with the most Remote Dot Drug Testing job openings:

Cheminformatics Specialist - Remote

micro1 AI

Fort Worth, TX • Remote

$80 - $110/hr

Part-time

Posted 26 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.