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Fulltime Data Science Jobs in Baltimore, MD (NOW HIRING)

Job Type Full-time Description Welcome to Interclypse, where innovation meets passion. Every team ... Three (3) years of experience in data science * Experience as a data scientist or similar role with ...

Data Scientist

Bowie, MD · On-site

$48K - $98K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Laurel, MD · On-site

$48K - $98K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Ashton, MD · On-site

$48K - $98K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist Location: Linthicum Heights, MD Work Schedule: Full-Time Clearance Required: Active TS/SCI with Polygraph Note: Position location is subject to change based on central Maryland client ...

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: Secret Clearance Level Must Be Able to Obtain: TS/SCI Potential for Remote Work: ORA_ON ...

Master's degree in Data Analytics/Science, Computer Science or related field and 24 months of ... Hours: Full Time, 40 hours/week As a general policy, McCormick does not offer employment visa ...

Showing results 41-60

Fulltime Data Science information

See Baltimore, MD salary details

$37.3K

$122K

$195.3K

How much do fulltime data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for fulltime data science in Baltimore, MD is $121,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 per year, depending on experience, location, and employer.

What is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

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

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

What cities near Baltimore, MD are hiring for Fulltime Data Science jobs?

Cities near Baltimore, MD with the most Fulltime Data Science job openings:

Postdoctoral Fellowship Position: Data Science and AI in Health and Medicine

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 29 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 620 rated colleges and universities


Job description

Description
We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI.
The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI).
We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include-but are not limited to-computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies.
Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. In describing potential projects, the candidates should not be afraid to propose directions that build on, but are distinct from, their work during PhD-we are interested as much in what your vision for future is as in your past accomplishments. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative.
Qualifications
  • PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field
  • Strong methodological and computational skills
  • Demonstrated interest or experience in health-related applications of statistical or data science methods
  • Strong written and oral communication skills
  • Ability to work collaboratively with interdisciplinary teams

Application Instructions
Interested applicants should submit the following materials to Interfolio:
  • Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate's work could help advance data science and AI in the Department and University, and the candidate's larger career goals)
  • Curriculum vitae
  • Contact information for three references

Applications will be reviewed beginning on October 1 and will be reviewed on a rolling basis until the positions are filled.
For more information about the Department of Biostatistics and its faculty, please visit https://publichealth.jhu.edu/departments/biostatistics . If you have any question about the position, please contact Mary Joy Argo (margo@jhu.edu).

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876