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Remote Math Research Assistant Jobs in Rochester, NY

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Contribute to R&D projects evaluating emerging AWS data and AI capabilities Required Skills: * 5+ ...

Staff Scientist

Rochester, NY · On-site +1

$65K - $81K/yr

In addition, you will assist with solutions to meet the regulatory clean-up standards appropriate ... Perform field inspections, research, measurements, well monitoring, operations & maintenance of ...

eBilling Specialist

Rochester, NY · Remote

$60K - $95K/yr

Identify, research, and troubleshoot rejected invoices for resolution and resubmission. * Work ... Client service orientation #LI-Remote The Firm will comply with any applicable city or state ...

Showing results 21-23

Remote Math Research Assistant information

See Rochester, NY salary details

$6

$19

$30

How much do remote math research assistant jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote math research assistant in Rochester, NY is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $22.79 per hour, depending on experience, location, and employer.

What is a remote math research assistant?

A Remote Math Research Assistant is someone who supports mathematics research projects while working from a location outside of a traditional office or laboratory. Their tasks typically include gathering and analyzing data, reviewing mathematical literature, writing reports, and assisting with the development of mathematical models or algorithms. They often collaborate with professors, researchers, or organizations through digital communication tools. This role requires strong mathematical knowledge, analytical skills, and the ability to work independently. Remote Math Research Assistants are valuable in both academic and industry settings, contributing to advancements in mathematical research.

How does a remote math research assistant typically collaborate with principal investigators and other team members given the remote nature of the position?

As a Remote Math Research Assistant, collaboration is often conducted through virtual meetings, shared documents, and project management platforms. You may regularly communicate with principal investigators via video calls, emails, or instant messaging to discuss research progress, clarify tasks, and receive feedback. Team members often share code, data, and mathematical proofs through cloud-based tools, ensuring everyone stays updated on each other's work. Despite working remotely, maintaining clear and proactive communication is essential for successful teamwork and timely project completion.

What is the difference between Remote Math Research Assistant vs Remote Data Analyst?

AspectRemote Math Research AssistantRemote Data Analyst
Required CredentialsMath degree or related certification, research experienceStatistics, data analysis, or related degree, analytical skills
Work EnvironmentAcademic, research institutions, or industry research teamsBusiness, tech companies, or consulting firms
Employer & Industry UsageUniversities, research labs, R&D departmentsCorporations, marketing firms, finance, tech
Common Search & ComparisonYesYes

The Remote Math Research Assistant typically focuses on mathematical research, theory development, and academic projects, often within educational or research institutions. In contrast, a Remote Data Analyst emphasizes analyzing data sets, generating insights, and supporting business decisions. While both roles require analytical skills and may involve similar tools, their primary focus and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a remote math research assistant, and why are they important?

To thrive as a Remote Math Research Assistant, you need a strong background in mathematics or a related field, with experience in research methodologies and data analysis. Familiarity with mathematical software such as MATLAB, Mathematica, LaTeX, and collaboration tools like Zoom or Slack is typically expected. Excellent written communication, time management, and attention to detail are crucial soft skills for remote teamwork and effective documentation. These skills and tools enable efficient research, clear reporting, and seamless collaboration in a virtual environment.

What are popular job titles related to Remote Math Research Assistant jobs in Rochester, NY?

For Remote Math Research Assistant jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Math Research Assistant jobs in Rochester, NY look for?

The top searched job categories for Remote Math Research Assistant jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Math Research Assistant jobs?

Cities near Rochester, NY with the most Remote Math Research Assistant job openings:

Infographic showing various Remote Math Research Assistant job openings in Rochester, NY as of August 2026, with employment types broken down into 4% Internship, 44% Full Time, 38% Part Time, 4% Temporary, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $39,664 per year, or $19.1 per hour.

AI Data Architect

Innovative Solutions

Rochester, NY • On-site, Remote

$150K - $200K/yr

Full-time

Re-posted 18 days ago


Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.
Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter
What You'll Do:
  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms - Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities

Required Skills:
  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS - Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB - including schema design and query optimization
  • Data modeling - conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions

Preferred:
  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

$150,000 - $200,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.