Job description
- B.Sc., M.Sc., or equivalent education in Biostatistics/Statistics, Bioinformatics, Life Sciences, Mathematics, Physical Sciences, or related fields
- Advanced SAS macro programming experience is required for the development of global tools that will increase the efficiency and capacity of the Statistical Programming group
- At least 6 years of Clinical trials related work experience in SAS programming, analysis and reporting in the context of drug development projects is required
- Well experienced in Pinnacle21 validation process, generating define xml using Pinnacle 21
- Extensive experience in implementing CDISC standards, as well as annotating CRFs, creating specifications for SDTM and ADaM datasets
- Experienced in creating Define.xml and the corresponding Reviewers' Guide for SDTM and ADaM datasets
- Good verbal and written communications skills in English
- Demonstrated knowledge of clinical drug development
- Proficiency in conducting advanced statistical analyses
- Must be independent, attention to detail, accountable to quality and timely delivery
- Ability to work on multiple collaborative projects, team player mentality
- As a Statistical Programming Consultant, you will use your SAS and R programming skills to prepare SDTM and ADaM datasets, Tables, Listings, & Figures (TLFs), as well as create related documents such as aCRF, programming specifications, and define packages (including reviewer's guides) for Phase 1 to Phase 4 clinical trials
- In addition, you will conduct quality control and quality assurance activities on datasets and outputs and may participate in company initiatives to improve the efficiency of end-to-end statistical programming activities, analysis, and reporting (IT, methodology, automation, quality)
- You will work closely in teams led by statistical programmers, statisticians, and drug development consultants, supporting a variety of client projects across various therapeutic areas and complexities
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Statistical Programmer?
A: To succeed as a Statistical Programmer, key technical skills include proficiency in programming languages such as R, Python, or SAS, as well as expertise in statistical software like SPSS, Stata, or Minitab. Additionally, strong analytical and problem-solving skills, attention to detail, and the ability to communicate complex statistical concepts to non-technical stakeholders are essential soft skills for this role. By combining these technical and soft skills, Statistical Programmers can effectively design, implement, and interpret statistical analyses, driving informed decision-making and supporting career growth through opportunities in data science, research, and industry leadership.
Q: What is the career path for a Statistical Programmer?
A: A Statistical Programmer's career path typically begins as a Junior Statistical Programmer or Data Analyst, where they develop programming skills in languages like R, Python, or SAS, and apply statistical techniques to analyze data. As they gain experience, they progress to roles such as Statistical Programmer or Senior Statistical Programmer, where they take on more complex projects, lead teams, and contribute to the development of statistical methodologies. Ultimately, they may move into senior leadership positions, such as Statistical Director or Biostatistician, or transition into related fields like data science, research, or academia, leveraging their expertise in statistical programming and analysis.
