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Remote Integrated Avionics Systems Jobs in Missouri

S2Tech

OnBase Developer (Remote)

Chesterfield, MO · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote - U.S. About Us : Known for "Delighting the Client" through performance, innovation, and an ... and system integrations across Medicaid operations. The ideal candidate brings strong OnBase ...

HSO Group B.V.

Start jouw carriere in Azure Integration Wil jij organisaties helpen om systemen slim met elkaar te ... als remote; * Toegang tot onze Academy en GoodHabitz voor jouw leerexpeditie; * Dagelijkse ...

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Remote Integrated Avionics Systems information

What is the difference between Remote Integrated Avionics Systems vs Remote Avionics Technicians?

AspectRemote Integrated Avionics SystemsRemote Avionics Technicians
CredentialsTypically requires engineering degrees and specialized certifications in avionics systemsRequires technical certifications and hands-on training in avionics repair and maintenance
Work EnvironmentDesign, development, and testing in labs or remote officesField service, troubleshooting, and maintenance at aircraft sites or remote locations
Industry UsageUsed by aerospace companies for system integration and developmentEmployed by airlines, maintenance providers, and repair stations for on-site repairs

Remote Integrated Avionics Systems professionals focus on designing and developing avionics systems remotely, often working in labs or offices. In contrast, Remote Avionics Technicians perform hands-on maintenance and troubleshooting at aircraft locations. Both roles are essential in the aviation industry but differ in credentials, work environment, and job functions.

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Remote Integrated Avionics Systems jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Independence, MO • Remote

$80 - $110/hr

Part-time

Posted 12 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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