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D3 Jobs in Connecticut (NOW HIRING)

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Fluency in contemporary data visualization methods like R Shiny, D3 * Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects ...

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D3 information

See Connecticut salary details

$14

$23

$35

How much do d3 jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for d3 in Connecticut is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $25.82 per hour, depending on experience, location, and employer.

What is a d3 developer?

D3 developers are professionals who specialize in using D3.js, a powerful JavaScript library for creating interactive data visualizations on the web. They are skilled in transforming complex data sets into visually engaging charts, graphs, and maps that help users understand and analyze information. D3 developers typically have strong backgrounds in JavaScript, web development, and data analysis, and often work closely with designers, data scientists, and stakeholders to create custom visual solutions.

What are the typical challenges faced when using D3.js in a data visualization developer role?

A common challenge for data visualization developers working with D3.js is managing the complexity of dynamic, interactive visualizations, especially when dealing with large datasets or frequent data updates. Integrating D3.js with modern JavaScript frameworks like React or Angular can also be tricky, requiring careful handling of the DOM to avoid performance issues. Additionally, ensuring accessibility and responsiveness across devices adds another layer of complexity. Collaborating closely with designers and data analysts is key to translating data insights into clear, engaging visual stories.

What are the key skills and qualifications needed to thrive as a d3 developer, and why are they important?

To excel as a D3 Developer, you need a strong grasp of JavaScript, data visualization concepts, and experience with D3.js library, often supported by a background in computer science or related fields. Familiarity with web technologies such as HTML, CSS, and version control systems like Git is essential, along with experience using data sources like APIs or CSV/JSON. Creativity, attention to detail, and strong problem-solving skills help you create impactful and user-friendly visualizations. These skills are crucial for transforming complex data into interactive, insightful visuals that drive decision-making.

What is the difference between D3 vs Data Analyst?

AspectD3Data Analyst
Required CredentialsBachelor's degree often in computer science, statistics, or related fieldsBachelor's degree in similar fields, sometimes with additional certifications
Work EnvironmentData-driven teams, tech companies, or research institutionsBusiness, finance, healthcare, and other industries requiring data insights
Employer & Industry UsageTech firms, startups, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonOften compared for data handling and visualization skillsCompared for data interpretation and reporting capabilities

While both D3 and Data Analysts work with data, D3 primarily focuses on data visualization and front-end development, whereas Data Analysts analyze data to generate insights. D3 is more technical and coding-intensive, while Data Analysts often work with statistical tools and reporting. Understanding these differences helps employers and job seekers identify the right role based on skills and career goals.

D3 jobs near you
Infographic showing various D3 job openings in Connecticut as of August 2026, with employment types broken down into 78% Full Time, 13% Part Time, 3% Temporary, and 6% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $49,614 per year, or $23.9 per hour.

Scientist III

Fladger Associates

Ridgefield, CT • On-site

Contractor

Re-posted 21 days ago

Job description

Ridgefield, CT
Contract Duration: 12-24 months
Rate: Negot

Responsibilities:

  • Excellent employment opportunity for a Scientist III in the Ridgefield, CT area.
  • Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker discovery
  • Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
  • Data Visualization: Fluency in contemporary data visualization methods like R Shiny, D3
  • Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
  • Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease
  • Select and benchmark methods and tools, define and perform appropriate QC measures
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Interpret and present analysis results to coworkers and collaborators
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
  • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports
  • Automate processing and results reporting and delivery
  • Reports and treats data with a high level of integrity and ethics
  • Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies

Experience:

  • Master's Degree from an accredited institution with one-plus (1+) years of experience in a related Scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's Degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
  • Strong Scientific understanding and experience in Bioinformatics
  • Experience in Pharmaceutical research a plus
  • The successful candidate will have experience with more than one of the following: analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration
  • Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for NGS analysis and the usage of public data resources required
  • Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages
  • Demonstrated ability to produce well-designed and documented code
  • Familiarity with computational biology tools and experience working with computational biologists to solve problems
  • Ability to troubleshoot both individually and as part of a team
  • Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner
  • Skills: BIOINFORMATICS, BIOSTATISTICS, DATABASES, GENOMICS, LINUX
  • Additional Skills: PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION, INTEGRATOR, MARKETING ANALYSIS, PHARMACEUTICAL RESEARCH, RNA, SEQUENCING, SOPS, STATISTICS, THERAPEUTIC