Statistical Programmer 2

This is a fully remote position, open to applicants in Serbia, +1 more country.

📋 Description

• Design, test, and implement SAS programs to generate and validate CDISC SDTM and ADaM datasets, tables, figures, and listings.

• Evaluate clinical database specifications, data transfer agreements/specifications, programming sections of statistical analysis plans, and TFL shells for studies of medium complexity.

• Create and assess specifications for SDTM and ADaM datasets, safety-data, TFL shells, patient profiles, and OPS reports.

• Prepare electronic data submission packages, which include SDTM annotated CRF, define.xml, and Study/Analysis Data Reviewer's Guide.

• Act as the programming project lead for studies of medium complexity.

• Allocate and supervise tasks for the programming team.

• Engage with both internal and external clients effectively.

• Strategize and implement project delivery, manage resources, and navigate competing project priorities with guidance from a line manager or mentor.

• Maintain alignment between project budget and scope.

• Collaborate with statisticians, sponsors, the broader study team, and fellow programmers to ensure that study data and outputs comply with industry standards, regulatory submissions, and quality benchmarks.

⛳️ Requirements

• Possess a degree or equivalent qualification.

• Proficient in advanced SAS programming, including SAS/Macro, Proc Report, and ODS.

• Solid understanding of SAS/Graph and Proc SQL.

• Minimum of 3 years of relevant experience.

• Competent in computer literacy and numeracy.

• Willing to adapt to various computer systems.

• Extensive experience in statistical programming.

• Proven experience in providing programming leadership for projects.

• Knowledge of statistical programming across a wide array of applications.

• Strong customer focus, commitment to delivering on promises, relationship-building, effective communication and influence, and adaptability to innovation and change.

🏝️ Benefits

• A diverse and inclusive work environment.

• Supportive and collaborative teams.

• Accessible leadership.

• Opportunities for professional development and continuous learning in SAS and CDISC.

• Commitment to equal employment opportunities.

• Exceptional employee experiences.