Statistical Analyst/Programmer

Apr; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading pharmaceutical company seeks a Consultant Statistical Analyst/Programmer to support RWE and HEOR initiatives. The role involves developing and validating statistical programs in SAS and R, collaborating with biostatisticians, and ensuring compliance with industry standards. The ideal candidate will have significant experience in clinical research and a solid educational background in relevant technical fields.

Qualifications

• Minimum of 7 years (Bachelor’s) or 4 years (Master’s) in clinical research.
• Experience in the pharmaceutical or CRO industry.
• Exposure to Phase I–IV trials.

Responsibilities

• Collaborate with biostatisticians on statistical programming support.
• Develop and validate SAS and/or R programs for analyses.
• Generate high-quality tables, figures based on clinical trial data.

Skills

SAS programming

R programming

Statistical modeling

Data quality checks

Analytical skills

Education

Bachelor’s or master’s degree in Statistics, Biostatistics, Mathematics, or related

Tools

CDISC SDTM datasets

ADaM datasets

Job description

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Remote, 12-month renewable contract

Position Summary:

We are seeking a highly skilled and detail-oriented Consultant Statistical Analyst/Programmer to support Real-World Evidence (RWE) and Health Economics and Outcomes Research (HEOR) initiatives. The successful candidate will work closely with the RWE/HEOR biostatistician and will be responsible for developing, executing, and validating statistical programs using SAS and/or R to support analyses and deliverables for RWE, HEOR, and Market Access activities.

Responsibilities:

• Collaborate with HEOR and RWE biostatisticians to provide statistical programming support across various projects.
• Develop, validate, and maintain SAS and/or R programs to support statistical analyses and reporting activities for HEOR, RWE, and Market Access studies.
• Generate high-quality tables, listings, and figures based on clinical trial data and other relevant data sources.
• Perform statistical modeling and analyses as required.
• Utilize SDTM and ADaM datasets to derive analysis datasets.
• Serve as the primary programmer on assigned projects, ensuring that programming deliverables are accurate and consistent.
• Perform quality control (QC) on statistical programs and outputs as needed.
• Ensure all programming activities comply with industry standards, study protocols, and statistical analysis plans (SAPs).
• Provide input on statistical methodologies and contribute to project deliverables.
• Maintain comprehensive documentation and audit trails for all programming activities.
• Perform rigorous data quality checks to ensure accuracy, completeness, and consistency.

Education & Experience Requirements:

• Bachelor’s or master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related technical discipline.
• Minimum of 7 years (Bachelor’s) or 4 years (Master’s) of experience in clinical research, preferably within the pharmaceutical or CRO industry, with exposure to Phase I–IV trials.
• Hands-on experience with CDISC SDTM and ADaM datasets.
• Proficiency in SAS and R programming is required
• Experience with statistical techniques, including longitudinal data analysis, survival analysis, and statistical modeling/simulation.

Additional Skills & Experience:

• Strong analytical and problem-solving skills, with the ability to manage complex studies and meet deadlines.
• Familiarity with observational studies, causal inference, patient-reported outcomes (PROs), and health technology assessment (HTA)
• Experience with indirect treatment comparisons (ITCs), such as matching-adjusted indirect comparison (MAIC), is a plus.
• Prior experience in a similar role within the pharmaceutical industry, preferably with a focus on small molecule pharmaceuticals.