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Remote Clinical Data Analyst Jobs in Baltimore, MD

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

... clinical data across the end-to-end Risk Adjustment ecosystem. The Senior Data Analyst serves as a subject matter expert for Risk Adjustment data quality, partnering with business, operations ...

As a Data Analyst , your focuswill be on collecting,analyzing, and interpreting marketing data to ... remote

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Utilizing 5- 8 years of clinical operations reporting experience, the incumbent serves as a subject matter expert in Microsoft BI, Tableau, and SQL to facilitate complex data analysis, letter ...

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

Clinical Analyst JobLocation:Remote JobDuration: Contract / FTE Client: Federal Criteria-Need US citizenshipbecause of federal regulations and the sensitive nature of the work involved. Ability to ...

This position is 100% remote. Essential Job Functions: * Applying appropriate FOIA exemptions to ... Experience with clinical data sets. * Experience reading/analyzing scientific journal articles.

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Remote Clinical Data Analyst information

See Baltimore, MD salary details

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How much do remote clinical data analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote clinical data analyst in Baltimore, MD is $36.13, according to ZipRecruiter salary data. Most workers in this role earn between $29.13 and $41.78 per hour, depending on experience, location, and employer.

What is a remote clinical data analyst?

A Remote Clinical Data Analyst is a professional who collects, processes, and analyzes clinical research data from a remote location, rather than working on-site. They ensure the accuracy, integrity, and security of clinical trial or healthcare data, often working with databases and statistical software. These analysts play a crucial role in supporting medical research, regulatory compliance, and data-driven decision-making in healthcare organizations. Their work helps improve patient outcomes, streamline clinical operations, and uphold data quality standards, all while collaborating virtually with research teams.

What does a remote clinical data analyst do?

A remote clinical data analyst works from home to analyze and manage the data for research and clinical trials. Your duties in this career include accessing the data that researchers collect during a trial and ensuring that it is secure and that researchers record all necessary and relevant information during their tests and experiments. Your responsibilities include ensuring that the documentation meets all the required regulations. You report your findings to trial stakeholders online or in person, and you often offer data collection guidance to researchers. This means that cooperation and communication play a major role in this career.

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

To thrive as a Remote Clinical Data Analyst, you need a strong background in data analysis, biostatistics, and clinical research, often supported by a degree in life sciences, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or Python), electronic data capture (EDC) systems, and regulatory compliance (like GCP) is essential. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting complex data and collaborating with cross-functional teams. These skills and qualities ensure high-quality, compliant data analysis, directly impacting clinical trial outcomes and regulatory submissions.

How do remote clinical data analysts typically collaborate with clinical research teams despite working off-site?

Remote Clinical Data Analysts frequently collaborate with clinical research teams using digital communication tools such as video conferencing, secure messaging platforms, and shared databases. They participate in regular virtual meetings, review data submissions, and coordinate with site coordinators, statisticians, and data managers to ensure data integrity and resolve discrepancies. Building strong communication skills and being proactive in status updates are essential for maintaining seamless workflow and supporting the team's goals, even from a distance.

What are the most commonly searched types of Clinical Data Analyst jobs in Baltimore, MD?

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

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

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

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

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

Infographic showing various Remote Clinical Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,144 per year, or $36.1 per hour.

Senior Data Analyst (Remote)

CareFirst

Baltimore, MD • Remote

$85K - $107K/yr

Full-time

Retirement

Posted 19 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

242nd of 315 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
The Senior Data Analyst is responsible for ensuring the accuracy, completeness, and regulatory compliance of data supporting Risk Adjustment programs, CMS submissions, and associated healthcare analytics. This role leads the design and execution of automated testing frameworks, data certification processes, reconciliations, and balance-and-control activities used to validate enrollment, claims, diagnosis, provider, and clinical data across the end-to-end Risk Adjustment ecosystem. The Senior Data Analyst serves as a subject matter expert for Risk Adjustment data quality, partnering with business, operations, compliance, and engineering teams to perform root cause analysis, resolve complex data defects, strengthen operational controls, and ensure trusted data supports risk score accuracy, financial integrity, audit readiness, and regulatory reporting
ESSENTIAL FUNCTIONS:

  • Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures.
  • Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.
  • Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.
  • Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.
  • Lead in the design, development, validation and delivery of data to provide insight into business decisions.
  • Manage the collection of business and technical requirements from Stakeholders to deliver data driven solutions. Produces technical documentation that is consistent with professional standards.
  • Be a resource and mentor to junior level staff

SUPERVISORY RESPONSIBILITY:
Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 5 years experience in an analytical/quantitative role.
Preferred Qualifications:

  • Experience in Healthcare Industry.
  • Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale. 

Knowledge, Skills and Abilities (KSAs)

  • Expert knowledge of healthcare payer data domains, including claims, enrollment, provider, diagnosis, procedure, pharmacy, and clinical data, and their impact on Risk Adjustment reporting, analytics, and financial performance.
  • Expert knowledge of Risk Adjustment business processes, including diagnosis capture, HCC models, coding validation, chart review programs, risk score generation, prospective and retrospective workflows, and associated data dependencies.
  • Expert ability to design, implement, and maintain automated data testing, certification, validation, reconciliation, and monitoring frameworks that ensure data accuracy and regulatory compliance.
  • Expert understanding of balance-and-control methodologies, data reconciliations, exception management, and production certification processes supporting critical healthcare reporting and submissions.
  • Expert knowledge of data quality management principles, including completeness, accuracy, validity, consistency, timeliness, traceability, and data control frameworks.
  • Advanced knowledge of regulatory reporting and submission processes supporting Risk Adjustment operations, audit readiness, and healthcare compliance requirements.
  • Expert proficiency in SQL and advanced data analysis techniques used to perform root cause analysis, validate business rules, investigate anomalies, quantify impacts, and resolve complex data defects.
  • Strong knowledge of cloud data platforms and analytical environments, including Snowflake, Microsoft Fabric, Azure Data Factory (ADF), and related healthcare data ecosystems.
  • Expert understanding of end-to-end data lineage, source-to-target mappings, transformation logic, business rules, and operational workflows supporting Risk Adjustment data processing.
  • Expert ability to lead defect triage, issue management, remediation validation, and post-production monitoring activities across multiple business and technology teams.
  • Advanced knowledge of metadata management, data governance, auditability, lineage, and control frameworks supporting trusted and compliant data assets.
  • Advanced knowledge of Agile delivery methodologies, testing practices, release validation, and production readiness processes.
  • Expert analytical and problem-solving skills with the ability to evaluate complex healthcare data scenarios, identify risks, determine root causes, and recommend sustainable corrective actions.
  • Advanced written and verbal communication skills with the ability to communicate testing results, defect impacts, data quality risks, and remediation recommendations to technical, operational, and business stakeholders.
  • Advanced ability to mentor analysts, promote testing and data quality best practices, and drive continuous improvement in data validation, certification, and operational control processes.

Salary Range: 87,264 - 173,316

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer.  It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Federal Disc/Physical Demand

Note:  The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS:

The associate is primarily seated while performing the duties of the position.  Occasional walking or standing is required.  The hands are regularly used to write, type, key and handle or feel small controls and objects.  The associate must frequently talk and hear.  Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship.

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