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Remote Statistics Jobs in Baltimore, MD (NOW HIRING)

Experience with statistical analysis methods and concepts like randomized controlled trials ... remote

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 ...

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0232485 Location: Annapolis Junction,MD,US Share job via: Share AI and ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ... Apply advanced statistical methods to quantify uncertainty and validate model outputs * Communicate ...

Background in statistics * Background in UX/HCI/Design * ERP systems experience * Well-versed in completing ETL transactions Allovue ROI We appreciate that our team members invest their brilliance ...

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Bachelor's degree in computer science, engineering, statistics, or related field. * 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role. * Strong proficiency in ...

Showing results 21-40

Remote Statistics information

See Baltimore, MD salary details

$40.2K

$83.1K

$116.3K

How much do remote statistics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote statistics in Baltimore, MD is $83,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $115,300.00 per year, depending on experience, location, and employer.

What is a remote statistics?

A Remote Statistics job involves analyzing data, interpreting trends, and applying statistical methods to solve problems from a remote location. Professionals in this role work in various industries such as healthcare, finance, and technology. They use statistical software, programming languages like R or Python, and data visualization tools to support decision-making. Remote statisticians may work for companies, research institutions, or as independent consultants. Strong analytical skills, attention to detail, and the ability to communicate findings effectively are essential for success in this field.

What does a remote statistics do?

Remote statisticians spend much of their day collecting, cleaning, and analyzing complex data sets to support organizational objectives. They use statistical software to identify trends, test hypotheses, and produce data reports or visualizations, often collaborating virtually with teams such as data scientists, business analysts, or project managers. Regular responsibilities may also include preparing presentations, explaining statistical findings to non-technical stakeholders, and ensuring data accuracy and confidentiality. Effective remote communication and independent time management are key to meeting project deadlines and contributing valuable insights from a home or remote office setting.

What are the key skills and qualifications needed to thrive in the remote statistics position, and why are they important?

To thrive in a Remote Statistics role, you need strong statistical analysis skills, proficiency in mathematics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, along with experience using data visualization tools, is often essential. Excellent communication, self-motivation, and time management help remote statisticians succeed in a distributed work environment. These capabilities enable accurate analysis, effective collaboration, and the ability to work independently while delivering meaningful insights to employers.

What cities near Baltimore, MD are hiring for Remote Statistics jobs?

Cities near Baltimore, MD with the most Remote Statistics job openings:

Infographic showing various Remote Statistics job openings in Baltimore, MD as of August 2026, with employment types broken down into 83% Full Time, 9% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,124 per year, or $40 per hour.

Clinical Transformation Data Scientist, Remote

University of Maryland Medical System

Baltimore, MD • Remote

Full-time

Posted 9 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   

Employment Type: FULL_TIME