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Remote Operations Research Analyst Jobs in Connecticut

... Remote, 1 Day In-Office (3001 Summer St., Stamford CT) Responsibilities: The Epic Hospital Billing Analyst serves as the primary technical and operational partner for Hospital Billing functions ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

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Remote Operations Research Analyst information

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$41.4K

$97.5K

$129.4K

How much do remote operations research analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote operations research analyst in Connecticut is $97,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $110,800.00 per year, depending on experience, location, and employer.

What is a remote operations research analyst?

A Remote Operations Research Analyst uses mathematical modeling, statistical analysis, and optimization techniques to solve complex business problems, improve processes, and support decision-making. Working remotely, they analyze data, develop simulations, and provide recommendations to enhance efficiency and effectiveness in various industries. They typically collaborate with teams through virtual meetings and tools, using software like Python, R, or Excel. Their work helps organizations optimize resources, reduce costs, and improve overall performance.

What are the key skills and qualifications needed to thrive as a remote operations research analyst?

A Remote Operations Research Analyst requires strong analytical and quantitative skills, usually supported by a degree in mathematics, statistics, operations research, or a related field. Familiarity with optimization software (such as CPLEX or Gurobi), programming languages (like Python or R), and proficiency in data visualization tools are commonly expected; certifications in analytics or data science can be advantageous. Excellent problem-solving ability, attention to detail, and clear written and verbal communication skills help analysts effectively present findings and collaborate virtually. These abilities are critical for successfully analyzing complex systems, delivering actionable insights to organizational leaders, and navigating remote work dynamics.

What does a typical workday look like for a remote operations research analyst?

As a Remote Operations Research Analyst, your typical day involves collecting and analyzing large datasets, building mathematical models to solve business problems, and generating recommendations based on your findings. You'll frequently coordinate with cross-functional teams via virtual meetings, present analytical results, and refine models based on stakeholder feedback. Much of your work will be independent and deadline-driven, but strong communication ensures alignment with project goals. This remote role offers flexibility, but requires self-motivation and effective time management to balance multiple projects and deliver high-quality insights.

Does remote operations research analyst pay well?

Remote operations research analysts typically earn competitive salaries that vary based on experience, education, and industry. According to industry data, the median annual pay is generally above the national average for similar analytical roles, with additional compensation often including benefits and opportunities for advancement.

Is a remote operations research analyst a good career?

A remote operations research analyst is a viable career option for individuals with strong analytical, mathematical, and problem-solving skills. The role often involves using tools like optimization models and data analysis software, and it can offer flexible work arrangements and competitive salaries. Job prospects depend on industry demand and the ability to adapt to remote work environments.

What does a remote operations research analyst do?

A remote operations research analyst analyzes complex systems and data to improve organizational efficiency and decision-making. They use mathematical models, statistical techniques, and software tools to solve problems related to logistics, supply chain, or resource allocation, often working independently or as part of a team in a virtual environment.

What are the most commonly searched types of Operations Research Analyst jobs in Connecticut?

The most popular types of Operations Research Analyst jobs in Connecticut are:

What are popular job titles related to Remote Operations Research Analyst jobs in Connecticut?

For Remote Operations Research Analyst jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Operations Research Analyst jobs in Connecticut look for?

The top searched job categories for Remote Operations Research Analyst jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Operations Research Analyst jobs?

Cities in Connecticut with the most Remote Operations Research Analyst job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Stamford, CT • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.