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Afternoon Data Analyst R Programming Jobs in Berwick, PA

Geisinger

Biostatistician

Danville, PA · On-site +1

The candidate must have experience in programming for data management and complex data analysis using SAS or R. This position has the potential to be remote. Work is typically performed in an office ...

Geisinger Health

Biostatistician

Danville, PA · On-site

The candidate must have experience in programming for data management and complex data analysis using SAS or R. This position has the potential to be remote. Work is typically performed in an office ...

Danaher

Digital Analyst Internships

Bloomsburg, PA · On-site

$89K - $106K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Bloomsburg, PA · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

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

Afternoon Data Analyst R Programming information

See Berwick, PA salary details

$32.7K

$79.4K

$130.7K

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

As of Aug 17, 2026, the average yearly pay for afternoon data analyst r programming in Berwick, PA is $79,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,200.00 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 cities near Berwick, PA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Berwick, 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 Berwick, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,401 per year, or $38.2 per hour.

Biostatistical Analyst II (Remote Capable)

Geisinger Health

Danville, PA • On-site, Remote

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 445 frontline employees who took The Breakroom Quiz

457th of 887 rated healthcare providers

Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
The Biostatistics Core at Geisinger collaborates closely with researchers across the health system, providing comprehensive support throughout all stages of the research process-from proposal development to data analysis and interpretation. Core members offer expertise in:
• Refining research questions and hypotheses
• Designing studies and selecting variables
• Estimating sample size and statistical power
• Developing analysis plans
• Designing data collection methods and randomization schemes
• Managing data and conducting biostatistical analyses
The Core consists of 10 members with a mix of MS- and PhD level positions. Members collaborate with departments across the health system including Community Medicine, Surgery, Cardiology, Otolaryngology, Pediatrics, Women's Health, among others and support full-time research faculty on grant related efforts.
The Biostatistics Core is seeking a full-time master's-level biostatistician. Responsibilities include collaborating on the design of clinical research studies, writing biostatistical analysis plans for research proposals and internal grants, calculating sample size and power, managing, analyzing, and interpreting study data and results, contributing to study publications, and educating members of the research team in statistical methods and study design. Experience in logistic regression, time-to-event (survival), and observational data analysis methods are essential as well as the fundamentals of model building. The successful candidate will have a master's degree in biostatistics or related field with at least 4 years of consulting experience in a healthcare environment. They should possess a solid understanding of clinical research, excellent communication skills, work independently and ability to handle multiple projects to meet deadlines in a multidisciplinary research environment. Experience managing large datasets in a healthcare environment is required. The candidate must have experience in programming for data management and complex data analysis using SAS or R. This position has the potential to be remote, depending on the candidate.
Job Duties:
  • Independently provides statistical consultations or collaborations with clinical principal investigators.
  • Includes developing the appropriate study design, determining the type of analysis for selected studies and designing appropriate methods of data collection, preparing publication quality graphics, and assisting in manuscript preparation as needed.
  • Educates residents and staff on statistical techniques and methods of analysis.
  • Acquires and installs upgrades and effectively uses the most current versions of the major statistical packages.
  • Participates in research committees.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
Position Details:
COMPETENCIES AND SKILLS:
  • Advanced skills and knowledge in biostatistics, statistical methods in medical and clinical research, and epidemiology.
  • Demonstrates excellent written and oral communication skills.
  • Demonstrates ability to effectively communicate quantitative information to medical personnel and administrative staff.
  • Independently provides statistical consultations or collaborations with clinical principal investigators.
  • Strong interpersonal skills and positive attitude to work effectively in a team environment
  • Possesses the critical thinking skills needed to provide statistical support to clinical investigators.
  • Experienced SAS or R programmer for both data manipulation and statistical analysis.
  • Detail-oriented with excellent validation and documentation skills.
  • Independently uses time management and organizational skills to successfully prioritize concurrent projects.
  • Demonstrates sound judgment and resourcefulness.

EDUCATION AND/OR EXPERIENCE:
  • Master's degree in biostatistics or a closely related field, required.
  • Experience performing statistical analysis in a healthcare environment, 4 years required.
  • Experience managing large datasets in a healthcare environment, required.
  • Advanced proficiency with at least one major statistical software package (preferably SAS or R), required.

Education:
Master's Degree-Statistics (Required)
Experience:
Minimum of 4 years-Related work experience (Required)
Certification(s) and License(s):
Skills:
Communication, Multitasking, Organizing, Research Regulatory Environment, Teamwork
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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