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Qualifications, experience, and skills needed for Statistical Programmers

Wondering what the qualifications for a Statistical Programmer role are?

A Statistical Programmer plays a crucial role in the analysis and reporting of clinical trial data within the pharmaceutical and biotechnology industries. Statistical Programmers collaborate closely with biostatisticians, data managers, and clinical teams to develop and validate statistical programs for clinical studies. They hold ultimate responsibility for creating accurate and efficient programs that transform raw data into meaningful results, supporting Parexel's mission to accelerate drug development and improve patient outcomes.

Browse our open Statistical Programmer positions or learn more about a day in the life of a Statistical Programmer.

Q: What are the educational requirements for Statistical Programmers?

A: A bachelor's degree is typically the minimum requirement. Common fields of study include:

  • Life Sciences (Biology, Chemistry, etc.)

  • Statistics

  • Mathematics

  • Computer Science

  • Biostatistics

  • Epidemiology

  • Life Sciences with a strong quantitative focus

  • Information Technology
  • Data Science

Some positions, especially senior roles, may prefer or require a master's degree in a related field.

Q: How much experience is needed to be a Statistical Programmer?

A: Typically, a Statistical Programmer role requires varying levels of experience depending on the position:

  • Entry-level positions may require 0-2 years of experience in clinical research or related fields

  • Mid-level positions often require 3-5 years of experience in statistical programming within the pharmaceutical or CRO industry

  • Senior positions may require 7+ years of experience, including leadership roles in statistical programming for clinical trials

Experience in programming languages (particularly SAS) & programming standards, eg. (CDISC, SDTM, ADaM), working with clinical trial data, and understanding regulatory requirements is crucial across all levels.

 

Q: What roles do people have before they are Statistical Programmers?

A: Before assuming the role of a Statistical Programmer, individuals typically gain experience and expertise through various roles within the clinical research and pharmaceutical industries. Some common roles that individuals may hold before becoming Statistical Programmers include:

  • Clinical Data Coordinator
  • Data Analyst

  • Junior Programmer

  • Clinical Data Coordinator

  • Research Assistant

  • SAS Programmer (in other industries)

  • Data Scientist
  • Clinical Database Programmer

These roles provide individuals with valuable experience in data manipulation, programming skills, and understanding of clinical research processes, laying the foundation for advancement to positions such as Statistical Programmers.

 

Q: Are there any certifications required to be a Statistical Programmer?

While specific certification requirements can vary depending on the particular role, there are generally no mandatory certifications required to become a Statistical Programmer. However, certain certifications can be highly beneficial, enhancing your credibility, knowledge, and career prospects in the field of clinical research and statistical programming. 

Some relevant certifications include:

  • SAS Certified Base Programmer

  • SAS Certified Advanced Programmer

  • SAS Certified Clinical Trials Programmer

  • CDISC standards certifications

  • Project Management Professional (PMP) for those interested in leadership roles

  • Good Clinical Practice (GCP) certification

Q: What are the competencies and technical skills needed to be a Statistical Programmer?

A:To excel in statistical programming, individuals require a diverse set of competencies and technical skills. By mastering these competencies and technical skills, Statistical Programmers can effectively contribute to clinical research and drive successful outcomes in the dynamic and demanding field of pharmaceutical development:

  1. Programming Skills:

       - Advanced proficiency in SAS programming

       - Knowledge of other programming languages (e.g., R, Python)

       - Experience with statistical software packages

  2. Statistical Knowledge:

       - Understanding of statistical concepts and methodologies

       - Familiarity with clinical trial design and analysis

  3. Data Management

    - Experience with clinical data standards (CDISC, SDTM, ADaM)

       - Skills in data manipulation, cleaning, and validation

  4. Regulatory Compliance

       - Knowledge of FDA, EMA, and other regulatory guidelines

       - Understanding of GCP principles and their application in programming

  5. Attention to Detail with a  Strong Focus on Quality

    - High level of accuracy in coding and data handling

       - Ability to identify and resolve data discrepancies

  6. Problem-solving and Analytical Thinking

    - Capacity to troubleshoot complex programming issues

       - Skill in developing efficient and innovative programming solutions

  7. Communication Skills:

      - Ability to explain technical concepts to non-technical stakeholders

       - Effective written and verbal communication

  8. Teamwork and Collaboration:

    - Experience working in cross-functional teams

    - Ability to collaborate with biostatisticians, data managers, and clinical teams

  9. Time Management:

       - Capacity to manage multiple projects and meet deadlines

       - Ability to prioritize tasks effectively

  10. Continuous Learning:

        - Willingness to stay updated on industry trends and new technologies

        - Adaptability to evolving programming practices and tools

By developing these qualifications, experiences, and skills, aspiring Statistical Programmers can position themselves for success in this critical role at Parexel, contributing to the efficiency and reliability of clinical trials through expert data analysis and reporting.

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