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Biomedical Data Analyst Remote Jobs in Boston, MA

MM International

Investment Data Analyst

Boston, MA · Remote

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 ...

Citizens

Experiential Marketing Sr Data Analyst

Westwood, MA · On-site +1

$104K - $138K/yr

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Monday - Friday 8-5 4 days in the Westwood MA or Johnston RI office 1 day remote. Pay Transparency ...

Citizens

Experiential Marketing Sr Data Analyst

Westwood, MA · On-site +1

$104K - $138K/yr

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Monday - Friday 8-5 4 days in the Westwood MA or Johnston RI office 1 day remote. Pay Transparency ...

IQVIA

Data Analytics Analyst II

Boston, MA · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

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 ...

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Biomedical Data Analyst Remote information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

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

As of Jul 26, 2026, the average yearly pay for biomedical data analyst remote 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 are the key skills and qualifications needed to thrive as a Biomedical Data Analyst in a remote setting, and why are they important?

To thrive as a Biomedical Data Analyst (Remote), you need a solid background in biostatistics, data science, and life sciences, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages (like Python or R), statistical software, and data visualization tools, as well as experience with databases and cloud-based collaboration platforms, is typically required. Strong analytical thinking, attention to detail, and effective virtual communication skills are vital for collaborating with multidisciplinary teams remotely. These skills ensure accurate analysis, meaningful insights, and successful project outcomes in a distributed work environment.

What does a Biomedical Data Analyst do in a remote position?

A Biomedical Data Analyst working remotely is responsible for collecting, processing, and interpreting complex biological and healthcare data. Their primary tasks include analyzing datasets from clinical trials, genomic studies, or electronic health records to uncover trends and support medical research. They use statistical tools and programming languages, often collaborating virtually with researchers and clinicians. Their insights help improve patient outcomes, develop new treatments, and advance scientific understanding. Remote roles allow analysts to contribute to projects from anywhere while utilizing secure technology to handle sensitive health data.

What are some common challenges faced by remote Biomedical Data Analysts, and how can they be addressed?

Remote Biomedical Data Analysts often face challenges such as ensuring secure access to sensitive health data, maintaining effective communication with cross-functional teams, and managing time zone differences. To address these, it's important to use secure VPNs and follow data privacy protocols, utilize collaborative tools like Slack or Teams for regular updates, and establish clear working hours and expectations. Proactively scheduling check-ins and participating in virtual team meetings can help maintain strong collaboration and project alignment.
What are the most commonly searched types of Biomedical Data Analyst jobs in Boston, MA? The most popular types of Biomedical Data Analyst jobs in Boston, MA are:
What are popular job titles related to Biomedical Data Analyst Remote jobs in Boston, MA? For Biomedical Data Analyst Remote jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Analyst Remote jobs in Boston, MA look for? The top searched job categories for Biomedical Data Analyst Remote jobs in Boston, MA are:
Biomedical Data Analyst Remote jobs near you
Investment Data Analyst

Investment Data Analyst

MM International

Boston, MA • Remote

Contractor

Posted 17 days ago

Job description

Title: Investment Data Analyst

Location: Boston, MA (Remote for good candidate but No PST candidates)

Duration: 6+ months Contract

Video Interview

 

Job Description     

Note: Looking for a Sr. candidate with strong financial background, should have experience with Reference Data and Data Modeling (MDM experience will be huge), and should have experience with CRM ( any CRM like Salesforce or Siebel or Dynamics etc). Candidate can be remote but cannot take candidates in Pacific Timezone ( no PST candidates). Looking for a real time candidates with over 12+ years of experience. 

Description:

We are ready to engage a client analyst into the team. Providing a high-level description of what the role would be, but please keep in mind that this person will continue beyond CRM to be the primary support analyst for the client workstream that will include client master and client reporting. We need a senior resource who can run fairly independently.
 

  1. Review and validate BRDs for the Client CRM
  2. Review data spec that will sit alongside the BRD for Client CRM
  3. Review the proposed CRM data model to ensure it aligns with broader business requirements
  4. Review and provide feedback on the CRM data mapping and migration plan
  5. Collaborate on how the CRM will integrate with other systems from a data perspective, including the creation of a data flow diagram (EA also)
  6. Confirm data sources & calculations 
  7. Advise on data ownership and stewardship
  8. Provide test datasets & a framework for testing the data migration and flows to ensure everything works as intended before going live
  9. Manage data cleansing & validation processes within MDM, relating to Client CRM data
  10. Opine on a plan for maintaining data quality and governance post-implementation, including regular audits and updates
  11. Ongoing: Evolve Client and Client Portfolios Masters with new attributes, as required
  12. Review and provide feedback on the access and permissions model to ensure that data access aligns with business needs and security protocols (Compliance also)