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Afternoon Data Analyst R Programming Jobs in Pipersville, PA

Pwc

Data Strategy-Manager

Philadelphia, PA · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Guardianlife

Data Exchange Analyst II

Bethlehem, PA

$59K - $88K/yr

... data engineers, and with external benefit administration companies. You have: * A history of ... Demonstrated analytical skills * Ability to function in a team environment and build strong working ...

Forhyre

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Skilled in Python object-oriented programming * Skilled in AWS Compute such as EC2, Lambda ...

Forhyre

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Skilled in Python object-oriented programming * Skilled in AWS Compute such as EC2, Lambda ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Pipersville, PA

Afternoon Data Analyst R Programming information

See Pipersville, PA salary details

$34.6K

$84.2K

$138.5K

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

As of Aug 16, 2026, the average yearly pay for afternoon data analyst r programming in Pipersville, PA is $84,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,800.00 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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Pipersville, PA?

For Afternoon Data Analyst R Programming jobs in Pipersville, PA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Pipersville, PA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Pipersville, PA are:

What cities near Pipersville, PA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Pipersville, PA 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 Pipersville, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $84,185 per year, or $40.5 per hour.

Clinical Data Analyst - Brain and Metabolism Imaging

LSU AgCenter

Pennington, NJ

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

About Us:

At the forefront of medical discovery as it relates to understanding the causes of obesity, diabetes, cardiovascular disease, cancer and dementia, Pennington Biomedical Research Center is a campus of Louisiana State University and conducts basic, clinical and population research. The Center includes Basic Science, Clinical Research, and Population and Public Health, enabling both focused research and translational science. Research at Pennington Biomedical is supported broadly by multiple NIH Research Centers, and includes approximately 65 faculty and 20 postdoctoral fellows who comprise a network of 44 laboratories and 13 highly specialized core service facilities.Pennington Biomedical is located within state-of-the-art research facilities on a 222-acre campus in Baton Rouge, Louisiana.

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Clinical Data Analyst - Brain and Metabolism ImagingPosition Type:Professional / UnclassifiedDepartment:LSUPBRC Clinic - Brain and Metabolism Imaging in Chronic Disease (Owen T Carmichael (00007151))Work Location:LSU - Pennington BiomedicalPay Grade:ProfessionalJob Description:

Pennington Biomedical Research Center, a world-renowned academic research institute of Louisiana State University, is seeking a Clinical Data Analyst in the Brain and Metabolism Imaging laboratory.

The Clinical Data Analyst in the Brain and Metabolism Imaging laboratory will support research efforts by managing and organizing biomedical imaging datasets. The Data Analyst provides technical support for computational neuroscience research through the use of automated neuroimaging pipelines, use of Linux workstations and HPC environments, and management of research computing infrastructure. This position involves coordinating the acquisition, storage, and processing of imaging data such as MRI and PET scans, as well as developing and maintaining pipelines for MRI analysis. The Data Analyst will utilize data management tools to assist investigators in retrieving, managing, and sharing imaging data across multiple research projects and collaborating institutions.

Major Responsibilities

  • Develop, maintain, and optimize automated neuroimaging processing pipelines for multimodal MRI datasets using Python, MATLAB, Bash, and neuroimaging software including FreeSurfer, FSL, ANTs, and SPM.

  • Manage Linux workstations and high-performance computing (HPC) environments, including software installation, system configuration, troubleshooting, performance optimization, and job scheduling.

  • Manage Linux user accounts, groups, file system permissions, shared storage, and access controls to ensure secure, reliable, and efficient utilization of research computing resources.

  • Processes MRI scans through the creation, implementation, and maintenance of imaging analysis pipelines.

  • Identifies and troubleshoots processing errors to ensure data accuracy and workflow efficiency.

  • Prepares presentation materials, including PowerPoint slides and Excel spreadsheets, to summarize study progress and findings.

  • Tracks data collection and imaging completion across study participants to ensure timely and accurate dataset updates.

  • Collaborates with undergraduate students, study staff, doctoral researchers, principal investigators (PIs), and postdoctoral fellows across multiple study sites to coordinate and maintain data integrity.

  • Compiles imaging metrics, statistics, and other data for reports, grant submissions, and research documentation.

  • Provides administrative and operational support to the Lab Manager and Principal Investigator as needed.

  • Performs other related duties as assigned to support the goals of the research program.

Required Qualifications

  • Bachelor's degree in a relevant field such as Computer Science, Biostatistics, Information Systems, Data Analytics, or a related discipline.

  • Minimum of one (1) year of professional experience in database management/data analysis working SPSS, SAS, or other statistical software.

  • Experience administering Linux systems, including user account management, file permissions, software installation, shell scripting, and system troubleshooting.

  • Programming knowledge in Python, MATLAB, and Bash for workflow automation, and data processing.

  • Experience using neuroimaging software such as FreeSurfer, FSL, ANTs, SPM, or comparable medical image analysis tools.

  • Experience working with high-performance computing (HPC) or distributed computing environments, including workload management systems (e.g., HTCondor), container technologies (Apptainer/Singularity or Docker), and scientific computing workflows.

  • Advanced skills in Microsoft Excel for data manipulation and analysis.

  • Strong critical thinking and problem-solving skills.

  • Meticulous attention to detail to ensure data accuracy and integrity.

  • Effective time management skills to handle multiple projects and meet deadlines.

  • Proficiency in writing detailed reports and presenting data insights to non-technical stakeholders.

Preferred Qualifications

  • Three (3) to five (5) years of professional experience in database management/data analysis working SPSS, SAS, or other statistical software.

  • Experience with database management systems (e.g., SQL).

  • Familiarity with research methods and data collection techniques.

  • Strong interpersonal skills to work collaboratively with cross-functional teams.

  • Flexibility to adapt to new tools, technologies, and methodologies.

Pennington Biomedical Research Center seeks to recruit a highly productive workforce with a broad range of backgrounds and perspectives and will provide equal employment opportunities to all employees and prospective employees. Employment decisions shall be based strictly on merit and without regard to religious or political beliefs, sex, race, or any other non-merit factor.

Additional Job Description:Competencies:NoneSpecial Instructions:Interested candidates should include a resume and a list of three (3) professional references to the online application. Professional references should be the name, title, company, and contact information from past employers. Professional references should include current or previous supervisors and/or coworkers. Personal references should not be considered for the reference check process. We will respect the request that we not contact a current employer. However, we will need to contact a prior supervisor if such a request is made.
A letter of application/cover letter is recommended but not required. Official transcripts are required prior to hire and are not required at the time of application.Posting Date:August 3, 2026Closing Date (Open Until Filled if No Date Specified):August 17, 2026Additional Position Information:

Pennington Biomedical is located within state-of-the-art research facilities on a 222-acre campus in Baton Rouge, Louisiana. For more information, visit PBRC.

Questions regarding career opportunities at Pennington Biomedical should be sent to hrm@pbrc.edu.

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - Pennington Biomedical Research Center offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):Pennington Biomedical Research Center/LSU is an Equal Opportunity Employer.Contact Information:

Questions or concerns can be directed to PBRC Human Resources at 225-763-2776 or hrm@pbrc.edu.

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