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Remote Biological Data Analyst Jobs in Boston, MA

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain. The ...

Boston, MA (Remote for good candidate but No PST candidates) Duration: 6+ months Contract Video Interview Note: Looking for a Sr. candidate with strong financial background, should have experience ...

Trauma data Analyst

Salem, MA ยท On-site +1

$17.71 - $25.28/hr

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

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 ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

... sciences, medical imaging, remote sensing, computer vision, mental health, data fusion ... analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data ...

Data Scientist

Cambridge, MA ยท On-site +1

$121K - $194K/yr

The Role Moderna is seeking a talented and motivated data scientist with a background in applying ... and analyze molecular or sequence libraries that address biological or therapeutic questions.

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

Senior Health Data Consultant

Boston, MA ยท On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... biological, and clinical data sources. * Provide expert insights on structure-activity and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... biological, and clinical data sources. * Provide expert insights on structure-activity and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... biological, and clinical data sources. * Provide expert insights on structure-activity and ...

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Showing results 1-20

Remote Biological Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do remote biological data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote biological data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a remote biological data analyst?

A Remote Biological Data Analyst is a professional who analyzes biological datasets, such as genomics, proteomics, or ecological data, while working from a remote location. They use statistical and computational tools to interpret complex biological information, often collaborating with researchers and scientists virtually. Their work helps advance scientific understanding, inform healthcare decisions, and contribute to research projects in fields like genetics, drug discovery, and environmental science. Remote work allows them to contribute to international teams and organizations without being tied to a physical lab or office.

What are the key skills and qualifications needed to thrive as a remote biological data analyst?

A Remote Biological Data Analyst should have a strong background in biology, statistics, and data analysis, often supported by a degree in bioinformatics, computational biology, or a related field. Expertise with programming languages such as Python or R, familiarity with bioinformatics tools (like BLAST or Bioconductor), and experience using data visualization platforms are typically required. Attention to detail, strong problem-solving abilities, and clear written communication are crucial soft skills for effectively interpreting and conveying complex biological data. These competencies enable accurate data-driven insights, facilitate remote collaboration, and support impactful biological research outcomes.

What are some common challenges faced by remote biological data analysts, and how can they be addressed?

One common challenge for remote Biological Data Analysts is effective communication and collaboration with research teams, as projects often require close coordination with biologists, statisticians, and IT professionals. To address this, it's important to proactively schedule regular virtual meetings, use collaborative platforms for data sharing, and maintain clear documentation of analyses. Additionally, managing large datasets remotely can be challenging, so familiarity with cloud-based tools and secure data access protocols is essential. Staying organized and leveraging project management tools can further help ensure smooth workflow and timely delivery of results.

What are the most commonly searched types of Biological Data Analyst jobs in Boston, MA?

The most popular types of Biological Data Analyst jobs in Boston, MA are:

Infographic showing various Remote Biological Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 2% Internship, 64% Full Time, 15% Part Time, 4% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Data Analyst

Digital Links Inc

Canton, MA โ€ข Remote

Contractor

Posted 20 days ago


Job description

Role: Data Analyst (Health care Domain)
Location: Canton, MA – 100% Remote

Position Overview

Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain.

The selected candidate will partner with business and technical teams to develop scalable analytical solutions, improve data quality, create technical documentation, support testing activities, troubleshoot production issues, and provide actionable business insights using SQL, ETL, and data-management technologies.

Key Responsibilities

  • Partner with business stakeholders and technical teams to understand data and reporting requirements.
  • Perform functional analysis, gap analysis, and business-requirements definition.
  • Analyze complex healthcare payer data and provide meaningful business insights.
  • Develop and optimize advanced SQL and PL/SQL queries.
  • Support ETL processes, data integrations, and data-engineering initiatives.
  • Create technical specifications, data mappings, process documentation, and solution-design documents.
  • Develop test cases, test plans, and validation strategies.
  • Perform data validation, quality assurance, and defect analysis.
  • Investigate and troubleshoot production data and reporting issues.
  • Identify data-quality issues and recommend corrective actions.
  • Collaborate with developers, QA teams, business analysts, and project stakeholders.
  • Support analytical reporting using SAS, Excel, and related tools.

Required Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, Healthcare Informatics, or a related field.
  • 7+ years of data-analysis experience within a healthcare payer environment.
  • Strong healthcare insurance or payer-domain experience.
  • Advanced hands-on experience with SQL, PL/SQL, and Oracle.
  • 5+ years of hands-on ETL and data-engineering experience.
  • 5+ years of Teradata experience.
  • 7+ years of experience with:
    • Functional analysis
    • Gap analysis
    • Business-requirements definition
  • Experience creating:
    • Technical specifications
    • Test cases
    • Test plans
    • Data and process documentation
  • Strong data-quality, QA, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with business and technical stakeholders.

Preferred Qualifications

  • SAS experience.
  • Advanced Microsoft Excel experience, including Pivot Tables.
  • Experience developing analytical and operational reports.
  • Experience supporting healthcare payer data, claims, membership, provider, enrollment, or related datasets.