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Biomedical Data Analyst Remote Jobs in Baltimore, MD

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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All JobsBiomedical Data Analyst JobsBiomedical Data Analyst Remote JobsBiomedical Data Analyst Remote Jobs in Baltimore, MD

Biomedical Data Analyst Remote information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

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

As of Sep 2, 2026, the average yearly pay for biomedical data analyst remote in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a biomedical data analyst in a remote setting?

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 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 Baltimore, MD?

The most popular types of Biomedical Data Analyst jobs in Baltimore, MD are:

What are popular job titles related to Biomedical Data Analyst Remote jobs in Baltimore, MD?

For Biomedical Data Analyst Remote jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Analyst Remote jobs in Baltimore, MD look for?

The top searched job categories for Biomedical Data Analyst Remote jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Biomedical Data Analyst Remote jobs?

Cities near Baltimore, MD with the most Biomedical Data Analyst Remote job openings:

Biomedical Data Analyst Remote jobs near you
Infographic showing various Biomedical Data Analyst Remote job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Business Analyst, Data Management

Mondo

Owings Mills, MD • Remote

$50 - $58/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 12 days ago

Job description

Apply now: Business Analyst, Data Management, location is Hybrid. The start date is September 21 for this contract-to-hire position.

Job Title: Business Analyst, Data Management Location-Type: Hybrid – Colorado Springs, CO or Owings Mills, MD (4 days onsite; Fridays remote) Start Date Is: September 21 Duration: 6-Month Contract-to-Hire Compensation Range: $50-58/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Business Analyst to support foundational data and data management platforms by serving as the bridge between business partners and technology teams. This role is centered on understanding business needs, facilitating discovery, writing actionable requirements and user stories, and supporting solutions through implementation. The ideal candidate has enough technical and data fluency to dig into data quality, governance, and validation issues while remaining fundamentally a business-focused analyst.

Day-to-Day Responsibilities:

  • Partner with business and technology stakeholders to understand needs, pain points, business drivers, and desired outcomes
  • Facilitate discovery sessions to uncover requirements and understand the "why " behind business requests
  • Gather, analyze, and document business, functional, and data requirements
  • Translate requirements into clear user stories, acceptance criteria, process flows, and functional specifications
  • Work closely with technology teams throughout solution discovery, development, testing, and implementation
  • Analyze and validate data using SQL and relational databases to support requirements and solution design
  • Perform data validation, reconciliation, and profiling to identify potential issues
  • Investigate data quality issues and coordinate resolution across business and technical teams
  • Support data governance efforts by helping define business rules, data definitions, quality expectations, and operational requirements
  • Develop test scenarios, validate results, document defects, and coordinate resolution
  • Facilitate communication across business, product, data, and technology teams
  • Identify dependencies, risks, and gaps throughout the delivery lifecycle
  • Work within Agile teams using Jira to manage stories, requirements, and delivery activities
  • Support continuous improvement of data products, processes, and team workflows

Minimum Requirements:

  • 2 years of Business Analyst, Data Analyst, or related experience
  • Bachelor's degree
  • Strong requirements gathering and documentation experience
  • Experience writing user stories and acceptance criteria
  • Strong business and process analysis skills
  • Experience partnering with technology teams to deliver solutions
  • Working knowledge of SQL and relational databases
  • Comfortable analyzing data and discussing data quality, governance, validation, and reporting
  • Exposure to Jira
  • Experience working in Agile/Scrum or Kanban environments
  • Financial services or investment product experience
  • Strong communication and stakeholder management skills
  • Ability to effectively communicate with both technical and non-technical stakeholders
Preferred Qualifications:
  • Strong financial or investment product acumen
  • Experience supporting enterprise data platforms or data management initiatives
  • Experience with data profiling, reconciliation, or data quality initiatives
  • Experience supporting data governance programs