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Remote Associate Data Scientist Jobs in Missouri

Behavioral Scientist

Saint Louis, MO · Remote

$33 - $41.50/hr

Remote - anywhere in the U.S. THE OPPORTUNITY SBS Creatix is partnering with a national financial ... Communication & Influence - Represent complex data and behavioral science concepts clearly and ...

New

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

$88K - $106K/yr

Install, configure, monitor, and troubleshoot Talend Remote Engine environments while maintaining ... Post-secondary degree, diploma, or certificate in Computer Science or a related technical ...

Our partner is looking for a ML Research Engineer / Scientist based in Netherlands. Join a research ... exceptionally rich real-world data. This is a fully remote opportunity for an independent ...

$112K - $148K/yr

Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products What Skills You Have Required * 4+ years of experience in software ...

Remote-first culture centered on trust, ownership, collaboration, and delivery excellence. * Opportunity to work alongside experienced specialists across cloud engineering, data science, software ...

New

$95K - $131K/yr

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...

$52 - $69.50/hr

Post-secondary degree or diploma in Computer Science, Information Technology, Cybersecurity, Data ... Fully remote work environment. * Opportunity to contribute to an enterprise-scale data architecture ...

Showing results 41-60

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Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Columbia, MO • Remote

$80 - $110/hr

Part-time

Posted 19 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.