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Remote Real Time Analyst Jobs in Rochester, MI (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

micro1 AI

Cheminformatics Specialist - Remote

Detroit, MI · Remote

$80 - $110/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

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Remote Real Time Analyst information

See Rochester, MI salary details

$28.5K

$67.4K

$119.7K

How much do remote real time analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote real time analyst in Rochester, MI is $67,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $80,100.00 per year, depending on experience, location, and employer.

What does a remote real time analyst do?

A Remote Real Time Analyst is responsible for monitoring and analyzing workforce data in real time to ensure optimal staffing levels and efficient operations, often in call centers or customer service environments. They track key metrics such as call volume, agent availability, and adherence to schedules, making adjustments to resource allocation as needed. Working remotely, they utilize specialized software and communication tools to provide timely updates and recommendations to management to maintain service level agreements.

What are the key skills and qualifications needed to thrive as a remote real time analyst?

To thrive as a Remote Real Time Analyst, you need strong analytical abilities, attention to detail, and a background in workforce management or operations, often supported by a relevant degree. Familiarity with workforce management software (like NICE IEX, Genesys, or Verint), advanced Excel skills, and experience with real-time monitoring tools are typically required. Excellent communication, problem-solving, and time management skills help you effectively coordinate with teams and respond quickly to changing conditions. These skills are crucial for maintaining operational efficiency, optimizing resource allocation, and ensuring service level targets are met in a dynamic remote environment.

How does a remote real time analyst typically collaborate with other teams to ensure optimal workforce management?

As a Remote Real Time Analyst, you'll work closely with operations, workforce planning, and team leaders to monitor live call volumes, agent adherence, and service levels throughout the day. Collaboration often involves providing real-time alerts or recommendations to help maximize productivity and minimize service gaps. You'll use communication tools like instant messaging, dashboards, and reports to keep all stakeholders informed, ensuring quick, data-driven decisions in a fast-paced environment.

What is the difference between Remote Real Time Analyst vs Remote Workforce Analyst?

AspectRemote Real Time AnalystRemote Workforce Analyst
CredentialsTypically requires a degree in business, analytics, or related field; certifications like Workforce Management (WFM) are commonSimilar credentials; often holds degrees in business, analytics, or operations management; workforce management certifications are also valued
Work EnvironmentPrimarily monitors real-time call center or operational data; works in contact centers or customer service environmentsAnalyzes workforce data to optimize staffing and productivity; works across various industries including retail, healthcare, and finance
Employer & Industry UsageUsed mainly in call centers, customer service, and telecommunication industriesUsed across multiple sectors to improve workforce efficiency and planning

Remote Real Time Analysts focus on monitoring and managing real-time operational data to ensure service levels, while Remote Workforce Analysts analyze workforce data to optimize staffing and productivity. Both roles require similar skills and certifications but serve different strategic functions within organizations.

What are popular job titles related to Remote Real Time Analyst jobs in Rochester, MI?

For Remote Real Time Analyst jobs in Rochester, MI, the most frequently searched job titles are:

What job categories do people searching Remote Real Time Analyst jobs in Rochester, MI look for?

The top searched job categories for Remote Real Time Analyst jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Remote Real Time Analyst jobs?

Cities near Rochester, MI with the most Remote Real Time Analyst job openings:

Remote Real Time Analyst jobs near you
Infographic showing various Remote Real Time Analyst job openings in Rochester, MI as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $67,433 per year, or $32.4 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Sterling Heights, MI • 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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