Job Type: Contract
Company: Biotech/Pharma
Length: 6 months (renewable)
Pay Rate: $75 - $85/hr.
Location: Remote
Company Description:
Quantive Intelligence (QI) is a Decision Sciences platform specializing in biometrics services across biostatistics, statistical programming, and data management to support clinical development for pharmaceutical and biotechnology sponsors. QI operates as an intelligence layer between complex clinical trial data and confident regulatory submissions, transforming data into clear, actionable insights. Our company plays a key role in helping customers achieve successful regulatory approvals through robust analytics and high-quality deliverables. Team members collaborate with leading life sciences organizations on impactful projects that advance clinical research and patient outcomes.
Role Description:
This is a contract, remote Statistical Programmer role. The Statistical Programmer will develop, validate, and maintain SAS and other programming code to support analysis and reporting of clinical trial data, including the creation of datasets, tables, listings, and figures in accordance with study protocols and regulatory standards. In close collaboration with biostatisticians, data managers, and project teams, the programmer will ensure data integrity, implement quality checks, and contribute to the design of efficient workflows for submissions. The role includes interpreting specifications (e.g., SDTM, ADaM), troubleshooting programming issues, documenting processes, and adhering to Good Clinical Practice and relevant regulatory guidelines. The Statistical Programmer will also support continuous improvement initiatives, contribute to best practices, and participate in cross-functional meetings to align deliverables with client and regulatory expectations.
Qualifications:
- Strong proficiency in statistical programming languages, particularly SAS (Base, Macro, SQL), with experience programming clinical trial datasets and outputs.
- Applied knowledge of clinical data standards (e.g., CDISC SDTM, ADaM), regulatory submission requirements, and common statistical reporting formats.
- Experience working with clinical data management systems, relational databases, and data cleaning, validation, and reconciliation processes.
- Ability to interpret biostatistical analysis plans and specifications, and collaborate effectively with biostatisticians on study deliverables.
- Solid understanding of clinical trial workflows, Good Clinical Practice (GCP), and industry guidelines relevant to biometrics and submissions.
- Strong analytical, problem-solving, and debugging skills, with attention to detail and commitment to high-quality, audit-ready code and documentation.
- Effective written and verbal communication skills, with the ability to work collaboratively in cross-functional, on-site teams.
- Bachelor’s or Master’s degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related quantitative field, or equivalent relevant experience.
Company Description