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Junior R Statistical Programmer Jobs in Maryland

Cmm Programmer

Windsor Mill, MD · On-site

$85K - $100K/yr

Work closely with Engineering on related issues, including MSA, Gage R-N-R, and statistical studies * Plan and work as a key member of the production team to ensure high quality product and on time ...

Junior Manual Test Engineer Leidos has a new and exciting opportunity for a Junior Manual Test ... Bachelor's degree in Computer Science, Engineering, Statistics, or a related discipline and at ...

Senior Biostatistician

Frederick, MD · On-site

$145K - $165K/yr

Mentor junior statisticians and programmers. * Participate in cross-functional program reviews. Minimum Qualifications * PhD in Biostatistics, Statistics, Epidemiology, or related quantitative ...

Mentor junior statisticians and programmers. * Participate in cross-functional program reviews. Minimum Qualifications * PhD in Biostatistics, Statistics, Epidemiology, or related quantitative ...

Analytica is seeking a Jr. Data Scientist to support a defense health mission critical program. The ... Strong knowledge of statistical programming concepts and best practices. * Experience with machine ...

Collaborate with statisticians, epidemiologists, and data analysts to ensure data accuracy and ... Ability to lead technical teams and mentor junior developers. * Excellent communication and ...

Showing results 21-40

Junior R Statistical Programmer information

What are typical challenges a junior R statistical programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

What are the key skills and qualifications needed to thrive as a junior R statistical programmer?

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What is a junior R statistical programmer?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.
What job categories do people searching Junior R Statistical Programmer jobs in Maryland look for? The top searched job categories for Junior R Statistical Programmer jobs in Maryland are:
What cities in Maryland are hiring for Junior R Statistical Programmer jobs? Cities in Maryland with the most Junior R Statistical Programmer job openings:
Infographic showing various Junior R Statistical Programmer job openings in Maryland as of July 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 77% In-person, 2% Hybrid, and 21% Remote job distribution.

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Re-posted 8 days ago


Job description

FortMeade,MD (OnSite Position)

Are you excited to contribute to worldclass research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50years of experience developing revolutionary technologies for critical national missions. 

Location: This position is based at our field site in FortMeade,MD. Candidates must be willing and able to commute to and work onsite and will regularly interface directly with government sponsors in secure facilities. 

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data-including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation's top cyber organizations. 

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory's efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cuttingedge technologies for Operations in the Information Environment (OIE). 

A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into realworld, missioncritical systems. 

Job Description

Our staff members:

  • Design, program, and architect advanced ML methods. 
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. 
  • Publish and present research at premier conferences. 

The AI Technology and Systems Group is seeking motivated applicants who can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include: 

  • Research on stateoftheart algorithms in signal processing, natural language processing, graph analytics, or adversarial AI. 
  • Applying innovative methods to challenging, realworld problems. 
  • Working in a collaborative, teamoriented development environment. 

This is an opportunity to apply your skills to some of the most important technical challenges of our time-while learning from and contributing to a worldclass research community. 

Qualifications

Candidates must possess a Ph.D in electrical engineering, computer science, or another relevant discipline or a MS with 5 or more years of relevant experience or a BS and 9 or more years of relevant expereince will be considered. 

  • Current TS/SCI clearance required (must be active at the time of application).  

Desired Skills

  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
  • Deep AI/ML experience - graduate-level (or professional) knowledge of state-of-the-art machine-learning, deep-learning, LLM/agentic AI, multimodal perception, graph analytics, adversarial/AI-assurance, or cyber-ML; ability to read, critique, and extend advanced research papers.
  • System analysis & problem decomposition - can translate high-level end-state requirements into a clear set of research tasks, define quantitative success metrics and measures, and produce a task-breakdown structure that aligns with program/project milestones. Adept at formulating hypothesis, designing controlled experiments, and drawing data-driven conclusions on novel problems.
  • Operate within a rapid research-to-prototype pipeline - demonstrable ability to turn novel algorithms and approaches into robust, reproduceable prototypes in tight timescales, around iterative refinement.
  • Agentic-AI framework experience - hands-on work with MCP or comparable toolkits; able to design, implement, and evaluate end-to-end LLM-driven agents.
  • Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas/SciPy, etc.).
  • Software-engineering best practices - strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
  • Team and Project leadership - experience leading small research teams, assigning tasks, tracking progress, removing technical blockers, and mentoring junior staff.
  • Stakeholder communication - strong written and oral skills for prepping technical briefings, composing white-papers, demo presentations, and funding proposals; able to convey complex research outcomes to sponsors, senior leadership, and external partners.
  • Detail-oriented, able to multi-task, with the ability to work autonomously, set technical direction, and operate with minimal supervision.


Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,20-0 - $220,000

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must possess a current in scope Top Secret level security clearance. 

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42940