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Remote Python Data Analysis Jobs in Arkansas (NOW HIRING)

Remote Reporting Relationships: This position reports to CareAbout Health's SVP Medical Economics ... BA/BS required in Data Management, Information Systems, Business Analytics, Healthcare, Computer ...

Strong Python skills (Pandas, NumPy, scikitlearn), containerization expertise (Docker), and MLOps ... Proven ability to translate complex analytical results into clear, actionable business ...

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Assist with the collection and ...

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Assist with the collection and ...

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Assist with the collection and ...

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Assist with the collection and ...

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Assist with the collection and ...

Time Type: Full time Remote Type: Job Family Group: Commercial Summary: The Category Development ... Bachelor's degree in data analysis, data science, business administration, economics, statistics ...

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Cheminformatics Specialist - Remote

micro1 AI

Fayetteville, AR • 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.