Entry-Level Statistical Programmer - SAS/R, SDTM/ADaM

Veramed; Boston (MA); On-site; USD 55,000 - 70,000; Full time

Job summary

Veramed is seeking motivated Entry-Level Statistical Programmers to join our biometrics team. These positions are ideal for recent graduates with a Master’s degree (preferred) and strong programming skills in Statistics, Mathematics, Computer Science, Data Science, Analytics, Engineering, or related quantitative disciplines.

The successful candidates will receive comprehensive training in clinical trial programming, CDISC standards, and regulatory submission requirements while working with

Qualifications

• Master's degree preferred; Bachelor's and PhD degrees considered.
• Degree in Statistics, Mathematics, Computer Science, Data Science, Analytics, Engineering, or a related quantitative field.
• SAS programming certificates are a strong plus.
• Demonstrated passion for programming and software development.
• Extensive hands-on experience using SAS and R through coursework, research, internships, or personal projects.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Strong written and verbal communication skills.

Responsibilities

• Develop and validate statistical programs using SAS and R.
• Support creation of SDTM and ADaM datasets.
• Generate tables, listings, and figures (TLFs).
• Perform programming quality control and validation.
• Review/Create specifications and study documentation.
• Contribute to automation, reusable tools, and process improvement initiatives.
• Collaborate with statisticians, data managers, and clinical teams.

Skills

SAS programming

R programming

Statistics

Programming

Education

Master's degree preferred

Quantitative field degree

Tools

SAS

R

Git

Python

SQL

Job description

Veramed is seeking motivated Entry-Level Statistical Programmers to join our biometrics team. These positions are ideal for recent graduates with a Master’s degree (preferred) and strong programming skills in Statistics, Mathematics, Computer Science, Data Science, Analytics, Engineering, or related quantitative disciplines.

The successful candidates will receive comprehensive training in clinical trial programming, CDISC standards, and regulatory submission requirements while working with