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Data Science R Jobs in Maryland (NOW HIRING)

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Director, Data Science Company: Norstella Location: Remote, United States Date Posted: May 18, 2026 ... R-1969 Description Why Norstella? Norstella unites market-leading companies that all have a shared ...

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Data Science R information

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What cities in Maryland are hiring for Data Science R jobs? Cities in Maryland with the most Data Science R job openings:
Infographic showing various Data Science R job openings in Maryland as of May 2026, with employment types broken down into 2% As Needed, 67% Full Time, 24% Part Time, 6% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.
Health Scientist (Data Science)

Health Scientist (Data Science)

National Institutes of Health

MD • On-site, Remote

$93K - $158K/yr

Full-time

Posted 6 days ago


National Eye Institute rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

43rd of 56 rated research


Job description

Summary
If you are an exceptionally talented, knowledgeable, and motivated individual with experience in providing laboratory assistance to one or more senior investigators, performing various laboratory experiments in support of research programs, AND you want to play a significant role in a dynamic organization, then consider joining the NIH!
Learn more about this agency
Duties
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  • Provide support and guidance to promote foundational research in data science methods.
  • Identify and implement emerging data and knowledge driven methods and technologies that address the evolving needs of the research community.
  • Advise and inform researchers and staff on the use of data science methods and tools.
  • Assist researchers and staff in translating new data science methods and data resources into practice.
  • Contribute to the development of roadmaps to shape long-term strategic goals for data and knowledge systems, especially in terms of handling large-scale and complex data systems.

Requirements
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Conditions of employment
  • U.S. Citizenship requirement or proof of being a U.S. National must be met by closing date.
  • Employment is subject to the successful completion of a background investigation, verification of qualifications, completion of onboarding forms, submission of required documents, and any other job-related requirement before or after appointment.
  • Applicants must meet all qualifications requirements within thirty (30) calendar days of the closing date of this announcement, including time in grade.
  • Males born after December 31, 1959 must be registered with the Selective Service.
  • The National Institutes of Health participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine employment eligibility of new hires and the validity of their Social Security numbers.
  • The NIH maintains a tobacco free work environment and campus.
  • Must be able to perform the essential duties of the position, with or without reasonable accommodation.
  • Based on your appointment, a one or two-year trial/probationary period may be required. A decision regarding your continued employment with NIH will be made as you near the end of this period.
  • Position requires Education, please provide copies of your transcripts.

Qualifications
Thank you for your interest in the Health Scientist (Data Science), GS-601-12/13, position at our agency. You must meet the qualification requirements as prescribed by the Office of Personnel Management. All education, unless completed outside of the U.S., must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the education was completed.
In order to qualify for the Health Scientist (Data Science), GS-601 position, you must:
A. Possess a bachelor's degree, or graduate/higher level degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of this position.
FOR THE GS-12 LEVEL:
In addition, in order to qualify for a Health Scientist (Data Science), GS- 0601 at the GS-12 level, you must have at least one year of specialized experience at or equivalent to the GS-11 level in the Federal service, obtained in either the private or public sector, performing the following types of tasks:
1.) working on organizational data standardization, integration, and sharing to assist stakeholders (e.g., researchers, leadership); 2.) modifying applications using programming languages (e.g., R, Python, SQL, Java, C/C++, Julia) to facilitate data clean-up, standardization, analysis, and retrieval efforts across an organization; 3.) presenting findings through data visualization techniques (e.g., interactive dashboards, charts, graphs) using programming languages (e.g., R, Phyton, SQL, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau); 4.) applying predictive analytics methods, such as Natural Language Processing (NLP), machine/deep learning, or other Artificial Intelligence (A.I.) tools to extract insights from data.
FOR THE GS-13 LEVEL:
In addition, in order to qualify for a Health Scientist (Data Science), GS-0601 at the GS-13 level, you must have at least one year of specialized experience at or equivalent to the GS-12 level in the Federal service, obtained in either the private or public sector performing the following types of tasks:
1.) partnering with relevant stakeholders (e.g., researchers, leadership) to build consensus around data standardization, integration, and sharing processes; 2.) creating and modifying scientific or medical applications using common programming languages (e.g., R, Python, SQL, Java, C/C++, Julia) to facilitate data clean-up, standardization, analysis, and retrieval efforts across an organization; 3.) presenting findings through data visualization techniques (e.g., interactive dashboards, charts, graphs) using programming languages (e.g., R, Python, SQL, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau); 4.) applying advanced predictive analytic methods, such as Natural Language Processing (NLP), machine/deep learning, and other advanced Artificial Intelligence (A.I.) tools to derive insights from complex data sets (e.g., high volume, multidimensionality, complex structure).
You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.
Do not copy and paste the duties or specialized experience from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as knowing your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin before receiving an offer.
Preview application questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12966979
Education
This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Click here for information on Foreign Education.
Additional information
  • This position is designated as a "non-emergency/teleworker" position and the selected candidate will be considered a "non-emergency/teleworker" employee. In the event of a closure, you must be available to telework or request leave.
  • At the supervisor's discretion, this position may offer work schedule flexibilities: telework (work from home on a regular basis or ad hoc basis but reports to the office at least once a week/two days a pay period).
  • We may make additional selections for similar positions across the National Institutes of Health within the local commuting area(s) identified in this vacancy announcement. By applying, you agree to have your application shared with any interested selecting official(s) at NIH. Clearance of CTAP will be applied for similar positions across NIH.
  • PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should apply online to this announcement to receive consideration.
  • Based on your appointment, a one or two-year trial/probationary period may be required. A decision regarding your continued employment with NIH will be made as you near the end of this period.
  • Veterans' Preference applies only to Schedule A (disability appointment) and Veterans Recruitment Appointments (if applicable).
  • The National Institutes of Health participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine employment eligibility of new hires and the validity of their Social Security numbers.
  • The NIH maintains a tobacco free work environment and campus.
  • Must be able to perform the essential duties of the position, with or without reasonable accommodation.
  • Visit Help Applying for helpful information on the application process.
  • If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a RA in your online application. Requests for RA for the USA Hire Competency Based Assessments and appropriate supporting documentation for RA must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for RA are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments, based on your adjudication decision. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments if you received the link after the close of the announcement. To determine if you need a RA, please review the Procedures for Requesting a Reasonable Accommodation for Online Assessments here: Reasonable Accommodation Information.
  • Veterans' Preference only applies to Schedule A (disability appointment), HHS Reemployment Priority List (RPL) Eligibles, HHS Priority Reemployment List (PRL) Eligibles, and Veterans Recruitment Appointments (if applicable).

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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
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