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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 ...

Data Analyst (Remote)

Denver, CO · 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 ...

Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably ...

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 ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be ... Perform complex data analysis, profiling, validation, and reconciliation activities. * Develop SQL ...

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 ...

Technical Skills Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

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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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:
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What job categories do people searching Remote Topological Data Analysis jobs look for? The top searched job categories for Remote Topological Data Analysis jobs are:
Infographic showing various Remote Topological Data Analysis job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 14% Part Time, 7% Temporary, and 14% Contract. Highlights an 100% Remote job distribution.

Technical Lead - Data Analysis

DRC Systems

Boston, MA • Remote

$50 - $54/hr

Contractor

Posted 5 days ago


Job description

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 performant analytics pipelines.
  • Data Visualization & Storytelling – Ability to translate complex healthcare data into actionable insights using dashboards and stakeholder-ready visualizations.
  • Healthcare Analytics & Value-Based Care Expertise – 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