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Remote Ai Analyst Jobs in Indiana (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and annotate ...

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What is a remote AI analyst?

A Remote AI Analyst is a professional who works primarily online to analyze, interpret, and generate insights from data using artificial intelligence tools and techniques. They often help organizations make data-driven decisions by developing models, monitoring AI system performance, and translating complex data findings into actionable recommendations. Working remotely, these analysts leverage advanced technologies and communication platforms to collaborate with teams and stakeholders across different locations. Their responsibilities may include data preprocessing, model evaluation, reporting, and staying up-to-date with the latest AI advancements.

How does a remote AI analyst typically collaborate with cross-functional teams despite working remotely?

Remote AI Analysts frequently collaborate with data scientists, engineers, product managers, and business stakeholders through virtual meetings, shared project management tools, and real-time communication platforms. Effective collaboration often involves regular video conferences, clear documentation of analysis and findings, and proactive communication to align on objectives and project timelines. Being remote requires strong self-management and the ability to communicate technical concepts clearly to both technical and non-technical team members. This collaborative approach ensures that insights from AI models are integrated into business decisions effectively.

What are the key skills and qualifications needed to thrive as a remote AI analyst, and why are they important?

To thrive as a Remote AI Analyst, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and knowledge of data visualization tools are typically required. Excellent problem-solving, communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These competencies are crucial for interpreting complex data, building effective AI models, and ensuring successful remote teamwork.

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Cheminformatics Specialist - Remote

micro1 AI

Fort Wayne, IN • Remote

$80 - $110/hr

Part-time

Posted 16 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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