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Internship R Statistical Programmer Jobs in Texas

SAS Statistician

Houston, TX · On-site

$95K/yr

... developer. You also don't just look at numbers and pass them on unexamined. You appreciate that ... STATA, R, Python experience Additional Information Compensation: $95k+ base salary

Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning:

... statistics, finance, economics, or data analytics. * Minimum 3.2 GPA. * Uses data to solve ... Python, R, SQL, AIenabled tools, or other emerging technologies to support analysis and drive ...

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

... or statistical programming language (R, Python, etc.) • Fundamental understanding of predictive modeling, structured analytic methodologies, and AI/automation • In-house/in-office position at ...

New

Internship Location: Fort Worth 2101 Reporting To: Jeffrey Luterek Compensation: $20.00 - $22.00 ... Perform Gauge R&R (as applicable) * Perform Takt time calculations. * Improve ways to distribute ...

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Internship R Statistical Programmer information

What are the key skills and qualifications needed to thrive as an Internship R Statistical Programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the most commonly searched types of R Statistical Programmer jobs in Texas? The most popular types of R Statistical Programmer jobs in Texas are:
What are popular job titles related to Internship R Statistical Programmer jobs in Texas? For Internship R Statistical Programmer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Texas look for? The top searched job categories for Internship R Statistical Programmer jobs in Texas are:
What cities in Texas are hiring for Internship R Statistical Programmer jobs? Cities in Texas with the most Internship R Statistical Programmer job openings:
SAS Statistician

SAS Statistician

CareSet Systems

Houston, TX • On-site

$95K/yr

Full-time

Posted 24 days ago


Job description

Company Description
Careset Systems (https://careset.com) - the nation's first vendor with access to 100% Medicare claims - decodes Medicare claims data to guide new drug launches for pharmaceutical companies. CareSet also works with research arm DocGraph to create, maintain, and improve open healthcare datasets, and in 4Q 2016 released data as part of Vice President Joe Biden's Cancer Moonshot Initiative.
Job Description
Decode 10+ years of Medicare claims for 50 million patients to extract insights about patients, providers and healthcare journeys for pharmaceutical, biotech and medical device companies. You will be our in-house statistics expert. You love data, and you love answering questions with data. You are not only able to write clean code, but you understand how to document your methods and approaches to make life easier for the next developer. You also don't just look at numbers and pass them on unexamined. You appreciate that data is only as good as the insights you get from them, and your technical skills help you get to those insights better and faster than anyone else. While numbers are your first language, you also enjoy conversations with people in English.
Outcomes:
  • Standardize SAS Macro library within 3 months
  • Double data output rate by reducing processing time and error rates within 6 months
  • Create process to assess, normalize and standardize our source data within 12 months
  • Train team in SAS within 12 months

Qualifications
  • Advanced degree in Statistics, Mathematics or undergraduate degree in Mathematics or Statistics and 7+ years of practical experience
  • Expert SAS and SAS Macro
  • Intermediate PROC SQL
  • Experience working with medical claims data
  • Rapidly takes in and comprehends new information
  • Efficient - Produces well with little unnecessary activity
  • Analytical - Makes sense of data and draws convincing analyses from it
  • Attention to detail - Knows which details matter and stays on top of them
  • Interest in working at and growing with a start up
  • Bonus: STATA, R, Python experience

Additional Information
Compensation: $95k+ base salary