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Junior R Statistical Programmer Jobs in Red Bank, NJ

Amgen

Biostatistical Prograrmming Manager

New York, NY · On-site

... Stat packages Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as ...

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Junior R Statistical Programmer information

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How much do junior r statistical programmer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for junior r statistical programmer in Red Bank, NJ is $27.66, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $34.04 per hour, depending on experience, location, and employer.

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, and why are they important?

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 are Junior R Statistical Programmers?

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 are popular job titles related to Junior R Statistical Programmer jobs in Red Bank, NJ? For Junior R Statistical Programmer jobs in Red Bank, NJ, the most frequently searched job titles are:
What cities near Red Bank, NJ are hiring for Junior R Statistical Programmer jobs? Cities near Red Bank, NJ with the most Junior R Statistical Programmer job openings:
Junior R Statistical Programmer jobs near you

Senior Statistical Programmer - HEOR Consulting

AIP Connect

New York, NY • On-site, Remote

$110/hr

Full-time

Posted 2 days ago

Job description

Our client, an innovative, client-focused boutique HEOR consulting firm is growing! We're looking for a Senior Biostatistician to join their team.
The ideal candidate will have a strong background in statistics or biostatistics and proficiency in statistical programming using SAS and/or R.
In this role, you will utilize real-world data to conduct a range of health care economic, clinical effectiveness, and burden of illness analyses to support pharmaceutical products throughout their life cycles across a range of disease areas.
This opportunity is for you if you're looking for an environment where you can play a big role in study design and analytics, and where you will have the opportunity to analyze and explore different types and structures of data. While this is a boutique organization, it has received significant industry recognition, and has established a growing list of clients. Therefore, you may face dynamic challenges that will require you to have an out of the box, solutions driven approach.
In this role, you will be responsible for the design and analysis of studies that inform healthcare decision-making and contribute to the development of innovative solutions for their clients. Additionally, this role is for you if you're excited about opportunities to build new data platforms.
You can expect to specifically focus on:
  • Heavy Data Manipulation: You'll be the one building analytical datasets from the ground up. This means getting into the weeds with patient selection, programming attrition counts, and working extensively with ICD-10, NDC, and CPT codes.
  • The Analyses: A significant portion of the work involves Treatment Pattern Analysis, Clinical Outcomes, and Healthcare Resource Utilization (HCRU) and Cost analysis.
  • Study Architecture: You'll collaborate with cross-functional teams to design HEOR studies, write the Statistical Analysis Plans (SAPs), and make sure the methodology is airtight.
  • Technical Mentorship: Act as a lead resource for junior staff, providing hands-on guidance on statistical methods and conducting code reviews to ensure programming best practices in SAS and R.
  • Strategic Storytelling: You'll translate complex statistical findings into clear, actionable recommendations for pharmaceutical leaders. It's about telling the story of the data, not just handing over a spreadsheet.

What You Bring To The Table
We are looking for a unique blend of technical mastery and an entrepreneurial spirit. Because of the fast-paced nature of the work, previous experience in an HEOR consulting firm is a requirement.
  • Consulting Background: You must come from an HEOR consulting firm. That fast-paced, solutions-driven mindset is non-negotiable here.
  • US Database Experience: You need to be deeply familiar with US administrative claims and EMR/EHR data.
  • Technical Stack: Expert-level proficiency in SAS and/or R is essential. If you're familiar with Python or Stata, that's a bonus.
  • The Credentials: A Master's or PhD in Biostatistics, Statistics, Epidemiology, or a related field, with at least 5 years of experience in HEOR consulting.
  • Leadership & Rigor: You have a meticulous eye for code auditing and a natural ability to mentor junior staff.

Salary range for this role is $110 - 130K.
AIP Connect believes in equal opportunity. Our recruitment consultants are committed to inclusive recruitment and selection practices and will not discriminate based on age, colour, ability, national origin, race, religion, sex, or sexual orientation.
Accessibility: If you need any accommodations during the interview process, please let us know.
Posted Salary: Actual compensation within this range will be determined based on job-related skills, relevant experience, education, and training. This range reflects base salary only and does not include eligibility for bonus program or other benefits.
For the most accurate and up-to-date details on this role, please refer directly to AIP Connect's careers page, as third-party sites may not reflect current information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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