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Remote Clinical Lab Scientist Jobs in Baltimore, MD

Sales Representative Medical Device

Baltimore, MD ยท On-site +1

$90K - $100K/yr

Respiratory therapy, nurse, clinical lab or similar work experience helpful. * An understanding of ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related ... Comprehensive Benefits Plan #LI-JF1 #LI-REMOTE #LI-NH1 #LI-REMOTE

Bachelor's degree (scientific field preferred) * 5+ years monitoring clinical trials independently conducting on-site and remote monitoring visits. Atleast 2 years monitoring solid tumor clinical ...

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Showing results 1-20

Remote Clinical Lab Scientist information

See Baltimore, MD salary details

$42.2K

$93.8K

$152K

How much do remote clinical lab scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote clinical lab scientist in Baltimore, MD is $93,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $118,200.00 per year, depending on experience, location, and employer.

What is a remote clinical lab scientist?

A Remote Clinical Lab Scientist is a trained laboratory professional who performs diagnostic tests and analyzes samples, but works from a remote location rather than on-site in a laboratory. These professionals use digital tools, secure data systems, and sometimes remote-access instruments to review results, troubleshoot issues, and provide expert guidance. They play a crucial role in ensuring accurate laboratory diagnostics for patient care, collaborating with on-site teams and maintaining regulatory standards. Remote Clinical Lab Scientists often need strong communication skills and a good understanding of laboratory information systems.

What are the key skills and qualifications needed to thrive as a remote clinical lab scientist?

To thrive as a Remote Clinical Lab Scientist, you need a strong background in laboratory science, attention to detail, and typically a bachelor's degree in medical laboratory science or a related field along with relevant certification (e.g., ASCP). Familiarity with laboratory information systems (LIS), digital microscopy, and remote diagnostic platforms is essential. Excellent communication, critical thinking, and self-motivation are important soft skills for collaborating with teams and managing work independently. These skills and qualities ensure accurate, timely results and effective coordination in a remote healthcare environment.

How does a remote clinical lab scientist effectively collaborate with on-site laboratory teams?

Remote Clinical Lab Scientists work closely with on-site staff through secure digital platforms, such as laboratory information systems and video conferencing tools. They often participate in daily virtual meetings to discuss case findings, clarify test results, and troubleshoot technical issues. Clear communication and timely documentation are essential for ensuring that remote and on-site teams remain aligned, maintain sample integrity, and deliver accurate results to healthcare providers. Building strong relationships with on-site colleagues can also help remote scientists stay informed about any changes in lab protocols or workflows.

What are the most commonly searched types of Clinical Lab Scientist jobs in Baltimore, MD?

The most popular types of Clinical Lab Scientist jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Clinical Lab Scientist jobs?

Cities near Baltimore, MD with the most Remote Clinical Lab Scientist job openings:

Infographic showing various Remote Clinical Lab Scientist job openings in Baltimore, MD as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 17% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $93,819 per year, or $45.1 per hour.

Clinical Transformation Data Scientist, Remote

University of Maryland Medical System

Baltimore, MD โ€ข On-site, Remote

$544K/yr

Full-time

Posted 11 days ago


Job description

Job Requirements
Join a leading academic medical center dedicated to advancing healthcare through innovation and data-driven insights. We are committed to transforming clinical care by leveraging cutting-edge analytics and fostering a culture of continuous improvement.
We are seeking a highly skilled Clinical Transformation Data Scientist to join our team in 2026. This role focuses on applying advanced data science techniques to healthcare data within an academic medical center setting. The ideal candidate will drive clinical transformation initiatives by developing predictive models, optimizing clinical workflows, and generating actionable insights that improve patient outcomes and operational efficiency.
Responsibilities:
  • Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation.
  • Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges.
  • Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes.
  • Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways.
  • Support clinical trials and research projects by providing robust data analysis and visualization.
  • Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities.
  • Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards.
  • Stay current with emerging data science methodologies, healthcare technologies, and industry best practices.

Work Experience
The ideal candidate will possess strong technical expertise in the latest data science technologies, applications, and software. This role requires hands-on experience with machine learning, artificial intelligence (AI), predictive modeling, and advanced analytics to drive clinical transformation initiatives.
Education and Experience
  • Master's in Data Analysis field or a related field required. Doctoral preferred.
  • Three (3) years of Data Analytics and Database Management experience required
  • Clinical Background preferred
  • Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency.
  • Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data.
  • Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies.
  • Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes.
  • Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics.

Knowledge, Skills and Abilities
  • Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics.
  • Familiarity with AI and cognitive analytics is highly desirable.
  • Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus.
  • Epic certifications are highly preferred.
  • Statistical analysis (experience with tools such as SAS, SPSS)
  • Experience using Tableau and/or Smartsheets software for data visualization
  • Excel expert including macros, visual basic
  • Advanced SQL, Excel and Vizient query languages and database design
  • Metric quantitative and qualitative analysis
  • Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
  • Expert at identifying data anomalies
  • Ensures, analyzes and monitors data quality
  • Strong analytic and problem-solving skills
  • Strong writing and editing skills
  • Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
  • Ability to work cooperatively and effectively with people from various organizational levels
  • Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
  • Change oriented and actively supports process improvement