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Remote Topological Data Analysis Jobs (NOW HIRING)

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

Associate Bus Data Analysis

Hartford, CT ยท On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an ... Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement.

Data Analyst (Remote)

Denver, CO ยท Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities ... Ad-hoc data analysis * Deep data investigation * Data visualization * Data integration * ETL ...

Senior Data Analyst (Remote)

Denver, CO ยท Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... Ad-hoc data analysis * Deep data investigation * Data visualization * Data integration * ETL ...

Director Business Intelligence Data Analysis

NY ยท On-site +1

$150K - $200K/yr

BluZinc is exclusively hiring a remote UAS based Director or Head of Business Intelligence and Data Analytics for a $100MM+ digital eLearning, mobile app, and online coaching business.Reporting to ...

This role is ideal for individuals interested in data analysis, financial services, and gaining practical experience in a dynamic remote work environment. Responsibilities: * Collect and analyze data ...

Position: Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

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United States, Remote/Hybrid Internship Please register at Zolve Internship Portal here: Role and Responsibilities: As a Data Science and Data Analytics Intern, you will play a crucial role in ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

This role focuses on centralized reporting, metric definition, business analysis, and data quality ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

... in a collaborative remote/hybrid environment based in Dallas. Provides strong mentorship ... Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ...

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Remote Topological Data Analysis information

What are the key skills and qualifications needed to thrive as a Remote Topological Data Analyst, and why are they important?

To excel as a Remote Topological Data Analyst, you need a robust background in mathematics, particularly topology and data analysis, often supported by an advanced degree in mathematics, statistics, or computer science. Familiarity with programming languages such as Python or R, experience with TDA libraries (like GUDHI or Ripser), and proficiency in data visualization tools are typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for collaborating remotely and conveying complex insights to diverse stakeholders. These abilities enable analysts to extract meaningful patterns from high-dimensional data and deliver actionable results in a distributed work environment.

What are some typical challenges faced by professionals working in remote Topological Data Analysis roles?

Professionals in remote Topological Data Analysis often encounter challenges related to collaborating across distributed teams, especially when interpreting complex, high-dimensional data. Communication is key, as team members may need to frequently discuss data structures, algorithms, and findings via virtual meetings and shared documentation. Additionally, staying updated on the latest research and software tools in the rapidly evolving field requires proactive self-learning and participation in online communities. Despite these challenges, remote work offers flexibility and the opportunity to collaborate with experts worldwide.

What is remote topological data analysis?

Remote topological data analysis refers to the use of topological methods for analyzing data, performed by professionals who work remotely rather than on-site. Topological data analysis (TDA) is a technique in data science that uses concepts from topology, a branch of mathematics, to extract meaningful patterns and structures from complex datasets. Remote TDA specialists utilize tools like persistent homology to identify features such as clusters, holes, or voids in high-dimensional data. They often collaborate with teams virtually, leveraging cloud-based computational resources and software platforms to conduct their analyses. This approach allows organizations to access specialized expertise regardless of geographic location.
More about Remote Topological Data Analysis jobs
What cities are hiring for Remote Topological Data Analysis jobs? Cities with the most Remote Topological Data Analysis job openings:
What are the most commonly searched types of Topological Data Analysis jobs? The most popular types of Topological Data Analysis jobs are:
What states have the most Remote Topological Data Analysis jobs? States with the most job openings for Remote Topological Data Analysis jobs include:
Infographic showing various Remote Topological Data Analysis job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution.

Technical Lead - Data Analysis

DRC Systems

Boston, MA โ€ข Remote

$50 - $54/hr

Contractor

Posted 21 days ago


Job description

Title โ€“ Technical Lead โ€“ Data Analysis
Location โ€“ Boston, MA - Remote

JD - Key Skills

  • Advanced SQL & Data Modeling โ€“ Proven ability to design robust data models, write complex SQL, and build performant analytics pipelines.
  • Data Visualization & Storytelling โ€“ Ability to translate complex healthcare data into actionable insights using dashboards and stakeholder-ready visualizations.
  • Healthcare Analytics & Value-Based Care Expertise โ€“ Strong hands-on experience with claims and clinical data, value-based care metrics, and healthcare quality measures.

Must Have Skills

  • Healthcare Data Experience
    • 5+ years of hands-on experience working with healthcare data
    • Deep expertise in claims and/or clinical data
    • Strong understanding of medical economics, risk adjustment, quality measures, and population health analytics
  • Value-Based Care
    • Minimum 2+ years of experience supporting value-based care use cases
    • Ability to act as a Value-Based Care SME in internal and client-facing discussions
  • Technical & Analytics Skills
    • Advanced SQL (complex joins, window functions, performance tuning)
    • Strong data modeling skills to support analytics and BI developers
    • Experience creating custom tables, views, and stored procedures (preferably in AWS Redshift)
    • Ability to support ad hoc analytics and complex customer requests
  • Cloud & BI Tools
    • Hands-on experience with AWS data stack: Redshift, Athena, S3
    • Experience building and delivering dashboards using Amazon QuickSight
  • Client & Stakeholder Engagement
    • Comfortable engaging directly with healthcare customers
    • Strong ability to translate business and value-based goals into actionable analytics deliverables
    • Experience presenting insights clearly to technical and non-technical stakeholders Good to Have Skills
  • Modern Data & Analytics Tools
    • Experience with dbt, Snowflake, or Looker
    • Familiarity with data pipelines and SaaS-scale analytics platforms
  • Programming & Automation
    • Ability to write and troubleshoot Python for data analysis or automation
    • Familiarity with GitHub and CI/CD tools such as Jenkins
  • Healthcare Interoperability
    • Understanding of FHIR or other healthcare interoperability standards
  • AI & Advanced Analytics
    • Experience integrating or validating AI-powered coding or analytics tools
    • Exposure to model QA, validation, or analytics governance
  • Tooling & Collaboration
    • Experience using Jira and Confluence in an agile environment
  • Industry Exposure
    • Prior experience working at a healthcare data vendor, ACO/CIN, payer, or healthcare SaaS company
  • AWS Ecosystem
    • Broader exposure to AWS services beyond core analytics stack