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Remote Support Scientist Jobs in Kansas (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Olathe, KS · Remote

$80 - $110/hr

... PubChem, DrugBank) to support AI-driven discovery platforms. * Evaluate compound-target ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Topeka, KS · Remote

$80 - $110/hr

... PubChem, DrugBank) to support AI-driven discovery platforms. * Evaluate compound-target ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Danaher

Sales Specialist - Digital Pathology

Wichita, KS · Remote

$120K - $140K/yr

S.-based and fully remote, supporting Wisconsin, Minnesota, Kansas, and the Dakotas . In this role ... Bachelor of Arts or Bachelor of Science * Minimum 3+ years relevant sales (or equivalent experience)

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What is the difference between Remote Support Scientist vs Remote Support Specialist?

AspectRemote Support Scientist
Required CredentialsTypically requires a scientific degree (e.g., biology, chemistry, or related fields), certifications in lab techniques or data analysis
Work EnvironmentLaboratory settings, research facilities, or remote data analysis environments
Employer & IndustryPharmaceutical, biotech, or research organizations
Common Search/ComparisonOften compared based on scientific expertise and research focus

The Remote Support Scientist primarily focuses on scientific research, data analysis, and laboratory support, often requiring advanced degrees and specialized certifications. In contrast, the Remote Support Specialist typically handles customer support, troubleshooting, and technical assistance, often with less emphasis on scientific credentials. Both roles may work remotely but serve different industry needs and skill sets.

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Cheminformatics Specialist - Remote

micro1 AI

Wichita, KS • Remote

$80 - $110/hr

Part-time

Posted 17 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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