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Remote Healthcare Data Science Jobs in Baltimore, MD

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Science, Data Engineering, or Analytics. * 3+ years of hands-on experience working with healthcare ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Science, Data Engineering, or Analytics. * 3+ years of hands-on experience working with healthcare ...

Data Science Tutor

Baltimore, MD ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Laurel, MD ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Bowie, MD ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

College Park, MD ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Senior Data Scientist

Baltimore, MD ยท On-site +1

$140K - $200K/yr

Recommend data-driven solutions and AI strategies aligned with CMS business needs and healthcare policy objectives. * Master's degree in Computer Science, Data Science, or a related field required;

Senior Data Analyst (Remote)

Baltimore, MD ยท Remote

$85K - $107K/yr

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related ... Experience in Healthcare Industry. * Hands on experience with Big Data/NoSQL Platforms with ...

Senior Data Analyst (Remote)

Baltimore, MD ยท Remote

$85K - $107K/yr

Experience in Healthcare Industry * Masters degree in a quantitative field preferred (e.g., Business Analytics, Statistics, Data Science) Advanced proficiency in: * SQL for data extraction ...

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Remote Healthcare Data Science information

What is a remote healthcare data scientist?

A Remote Healthcare Data Scientist is a professional who analyzes health-related data to extract insights and improve patient outcomes, all while working from a location outside of traditional healthcare settings such as hospitals or clinics. They use statistical analysis, machine learning, and data visualization to interpret large datasets from electronic health records, clinical trials, and other health sources. Remote Healthcare Data Scientists collaborate with healthcare professionals and IT teams to develop predictive models, support research, and enhance decision-making processes, often using secure telecommunication and cloud-based tools. Their work can inform policy, improve care delivery, and support public health initiatives.

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

Remote healthcare data scientists often encounter challenges related to data privacy regulations, fragmented data sources, and effective collaboration with clinical teams. Navigating strict patient confidentiality laws such as HIPAA requires meticulous handling of sensitive information, often necessitating secure remote access solutions. Additionally, integrating data from various electronic health record systems can be complex. To address these challenges, it's important to proactively communicate with IT and compliance teams, use secure data transfer tools, and participate in regular virtual meetings with cross-functional healthcare professionals to ensure alignment and data integrity.

What are the key skills and qualifications needed to thrive as a remote healthcare data scientist, and why are they important?

To thrive as a Remote Healthcare Data Scientist, you need a strong background in statistics, machine learning, and healthcare analytics, typically supported by a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare data systems such as EHRs or HIPAA-compliant databases are crucial. Strong problem-solving abilities, effective communication, and the capability to work independently are essential soft skills for this remote role. These skills enable professionals to extract actionable insights from complex healthcare data, ensuring data-driven decision-making and improved patient outcomes.

What is the difference between Remote Healthcare Data Science vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data ScienceRemote Healthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills; knowledge of healthcare dataDegree in Data Analysis, Statistics, or related; proficiency in data tools; understanding of healthcare data
Work EnvironmentFocus on developing models, algorithms, and predictive analytics in healthcareFocus on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageUsed by healthcare tech companies, hospitals, research institutionsUsed by healthcare providers, insurance companies, consulting firms

Remote Healthcare Data Science involves building advanced models and algorithms to analyze healthcare data, requiring strong programming and statistical skills. In contrast, Remote Healthcare Data Analysts focus on interpreting data, creating reports, and supporting healthcare decision-making. Both roles are vital in healthcare analytics but differ in technical complexity and responsibilities.

What are popular job titles related to Remote Healthcare Data Science jobs in Baltimore, MD?

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

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

The top searched job categories for Remote Healthcare Data Science jobs in Baltimore, MD are:

Clinical Transformation Data Scientist, Remote

Baltimore, MD โ€ข On-site, Remote

$544K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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