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Afternoon Data Analyst R Programming Jobs in Baltimore, MD

CLEAResult

EV Charging Station Data Analyst

Columbia, MD · On-site

$61K - $78K/yr

Bachelor's degree in an engineering, data science or a technical field from an accredited ... Advanced data analytics and visualization (e.g., Python, R, Matlab) or GIS program use and results ...

Booz Allen Hamilton

Data Analyst, Senior

Annapolis Junction, MD · On-site

$87K - $110K/yr

... programming languages to modify, write, and execute code, open, read, and modify files, and write ... data analysis and findings. • Solicit and engage with analysts across your host client team to ...

Booz Allen Hamilton

Data Analyst, Senior

Columbia, MD · On-site

$83K - $105K/yr

... programming languages to modify, write, and execute code, open, read, and modify files, and write ... data analysis and findings. • Solicit and engage with analysts across your host client team to ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Baltimore, MD

Afternoon Data Analyst R Programming information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do afternoon data analyst r programming jobs pay per year?

As of Jun 8, 2026, the average yearly pay for afternoon data analyst r programming in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Baltimore, MD? The most popular types of Data Analyst R Programming jobs in Baltimore, MD are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Baltimore, MD? For Afternoon Data Analyst R Programming jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Baltimore, MD look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Afternoon Data Analyst R Programming jobs? Cities near Baltimore, MD with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Baltimore, MD as of May 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.
Clinical Data Scientist, FDA (Sr.)

Clinical Data Scientist, FDA (Sr.)

DRT Strategies, Inc.

Silver Spring, MD • On-site

$100K - $135K/yr

Full-time

Posted 6 days ago

Job description

Overview
DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, state and local government and commercial clients in health care, technology, and financial services industries.
The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.
We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality.
Project Description:
The Clinical Analyst contractor position provides scientific and clinical analytical support to CDER Office of New Drugs (OND) multi-disciplinary review teams. The individual will assist in the evaluation of drug applications, review clinical safety data, labeling assessment, and preparation of scientific reports. The work requires advanced knowledge in health and data sciences and the ability to apply scientific expertise to support risk determinations in the context of regulatory review.
Note: This is a support role. All regulatory decisions, final recommendations, and official communications with applicants remain the exclusive responsibility of qualified FDA
federal employees. The contractor's work products are subject to review and approval by FDA staff.
Job Summary:
The Clinical Data Scientist position interacts with many FDA stakeholders across several Offices and Centers specifically with clinical reviewers (Medical Officers) and statistical reviewers. This role will be responsible for reviewing safety data sufficiency and integrity, conducting safety data analyses, verifying safety data submitted by the applicant, and generating high-quality scientific reports.
Responsibilities:
Clinical Data Analysis and Review
  • Analyze and evaluate submitted data from applicants seeking permission to market new drugs for general use and prepare analytical summaries on the adequacy of safety data provided.
  • Review NDAs, BLAs, supplements, and amendments; prepare draft analytical reports and recommendations for FDA reviewer consideration.
  • Incorporate summaries from clinical safety data reviews as part of integrated multi-disciplinary assessments. Prepare, oversee, and maintain project schedules.
Labeling Review Support
  • Assist in the review of proposed drug labeling to assess whether safety claims are truthful and adequately supported,
  • Provide draft safety data analysis on labeling accuracy and completeness for review by FDA staff.
Scientific Correspondence and Reporting
  • Draft scientifically sufficient reports of findings that clearly communicate clinical safety analyses and conclusions.
  • Prepare draft correspondence identifying facts and information inadequately presented in sponsor submissions, for FDA reviewer finalization and issuance.
  • Prepare clear summaries of clinical safety data tables, figures and listings for FDA review team use.
Literature Review and Knowledge Management
  • Review scientific literature and maintain awareness of current clinical developments and evolving findings in relevant therapeutic areas. Support preparation of background materials for seminars, conferences, and industry meetings.
  • Stakeholder Support
  • Support clinical review teams in preparing for meetings with drug company representatives, advisory committees, and external scientific bodies.
Other Tasks
  • Lead meetings with clinical reviewers and statistical reviewers to present results from data quality assessments and standard safety data analyses.
  • Collaborate with CDER OND staff to optimize team processes and deliverables.
  • Work with FDA stakeholders to review background packages and mock safety datasets to assess appropriateness of controlled terminology and safety dataset structure.
  • Interact with government and contractor teams to help manage and monitor project progress, risk, issues, and track action items.
  • Manage, organize, and update SharePoint sites.
  • Assist in overall project support, as needed.
  • Support any other DRT tasks as assigned/requested by Portfolio Manager and Account Lead.
Required Experience:
  • Minimum of 3 years' professional experience.
  • Technical proficiency in programming languages- R (mandatory) with demonstrated experience using R for data manipulation, analysis, and visualization in a clinical or regulatory research context.
  • R programming - ability to troubleshoot errors in R.
  • Experience with CDISC data standards (including SDTM and ADaM) and safety dataset structure (e.g., adsl.xpt, adae.xpt, adlb.xpt, advs.xpt, and adeg.xpt)
  • Understands data analytical methods (e.g., longitudinal analysis, time-to-event analyses, and causal/correlation analyses) for conducting safety data analyses (tables and figures)
  • Understands safety review elements including trial design, demographics, exposure, death, discontinuation, dose modification, SAE, TEAE, FMQ, AESI, laboratory tests, and vital signs. Working knowledge of safety analysis methods, including the evaluation of adverse event data, safety signal detection, and the preparation of standardized safety tables and figures.
  • Strong analytical and statistical skills to assess safety data.
  • Excellent organizational, time management, verbal and written communication skills.
  • Ability to independently manage a variety of projects with frequent interruptions and shifting priorities.
  • Ability to organize a continuous flow of work in a timely manner and meet mandatory deadlines.
  • Computer skills: MS Office Suite (particularly PowerPoint, Word, Excel), Adobe Acrobat.
  • Ability to work independently within a multidisciplinary team.
Preferred Experience:
  • Proficiency in manipulating data using R programming.
  • Experience and/or knowledge of analytical software including JReview, JMP, JMP Clinical, etc.
  • Experience in SAS programming.
  • Ability to apply knowledge of scientific research principles, study design concepts, and methods sufficient to evaluate clinical drug development programs.
  • Experience in applying clinical safety data analytical skills, including the ability to synthesize clinical and scientific evidence to inform risk assessments.
  • Experience in clinical trials, especially statistical hypothesis testing methods. Understands general concept of clinical trial design and drug development (e.g., adequate and well-controlled studies).
  • Statistical background, including experience with biostatistical methods commonly
    applied in clinical trial design, analysis, and interpretation (e.g., survival analysis, mixed-
    effects models, hypothesis testing).
  • Machine learning and AI background, including familiarity with predictive modeling
    techniques (e.g., classification models, regression models, random forest, or neural
    networks) and their potential applications in drug safety evaluation and regulatory science.
  • Epidemiological background, including experience with observational study design, real-world evidence, pharmacoepidemiology, or population-level safety surveillance methods.
  • Ability to work with little direct supervision on loosely defined tasks and coordinate work across multiple projects.
  • Experience identifying, articulating, and resolving complex, unique, and previously unresolved.
  • Familiarity with FDA regulatory process and/or working experience at FDA.
Education & Training:
  • PharmD or PhD in the STEM disciplines: bioinformatics, Public Health, Pharmacology, Toxicology, Biology, Biomedical Engineer, biology, biostatistics, epidemiology, health informatics, or pharmaceutical science.
Work Authorization, Clearance Requirement, & Additional Information:
  • This position requires the ability to obtain and maintain a U.S. government Public Trust clearance. Due to contract requirements, candidates must be U.S. citizens or lawful permanent residents (green card holders) to be eligible.
  • No agencies, third parties, or Corp-to-Corp submissions.
Salary Range:
  • $100,000-135,000
  • Salary commensurate with experience.

DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law.
Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing HR@drtstrategies.com, or by dialing 571-482-2517.
For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish).
Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at hr@drtstrategies.com if you believe you have received a fraudulent email.

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