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Remote Topological Data Analysis Jobs in Connecticut

You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote * Support Oncology ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Data Analyst

Milford, CT ยท Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on ... LT Apparel Group About the Role LT Apparel Group is hiring a remote Data Analyst to support our ...

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Remote Topological Data Analysis information

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.

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 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 the most commonly searched types of Topological Data Analysis jobs in Connecticut?

The most popular types of Topological Data Analysis jobs in Connecticut are:

What are popular job titles related to Remote Topological Data Analysis jobs in Connecticut?

For Remote Topological Data Analysis jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Topological Data Analysis jobs in Connecticut look for?

The top searched job categories for Remote Topological Data Analysis jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Topological Data Analysis jobs?

Cities in Connecticut with the most Remote Topological Data Analysis job openings:

Infographic showing various Remote Topological Data Analysis job openings in Connecticut as of August 2026, with employment types broken down into 62% Full Time, 12% Part Time, 13% Temporary, and 13% Contract. Highlights an 100% Remote job distribution.

Remote Scientist III

Sigma Systems, Inc.

Ridgefield, CT โ€ข On-site, Remote

Full-time

Posted 4 days ago


Job description

37566110 Remote Scientist III 12 Months

Sigma Systems is currently looking for a Remote Scientist.

Responsibilities:

  • As an active team member of the Computational Innovation department at Boehringer-Ingelheim, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote
  • Support Oncology drug development efforts
  • Identify, learn and apply emerging technologies in data science and its applications to Client cancer therapeutics discovery and development.
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
  • Ensure FAIR data analysis with clear documentation and reproducibility

Requirements:

  • PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences)
  • Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
  • Proficiency in working with bulk and single cell NGS data
  • Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc)
  • Proficiency in working with high-performance computing clusters (HPC)
  • Proficiency in biological pathway analysis