Senior Statistical Programmer, R, RShiny

This is a fully remote position, open to applicants in Spain, +2 more countries.

📋 Description

• Utilize R/RShiny or similar software to create custom programming code for summary tables, data listings, graphs, and derived datasets.

• Ensure that outputs adhere to quality standards and meet project specifications.

• Conduct validation programming and resolve any discrepancies in collaboration with Programmers, Biostatisticians, and other project team members.

• Keep project team members updated on programming advancements and challenges.

• Adhere to relevant SOPs, WIs, and regulatory guidelines such as ICH.

• Maintain comprehensive, up-to-date project documentation, testing, and quality-control records.

• Manage timelines and priorities across multiple projects effectively.

• Create specifications for datasets and outputs of varying complexity.

• Proactively identify and address programming challenges and define variables for peer review and sponsor/requestor acceptance.

• Organize and lead internal meetings, disseminate information and minutes, and ensure action items are completed.

• Provide assistance with projects and initiatives as required.

• Establish time estimates and execute study programming tasks within designated timeframes.

• Serve as the lead statistical programmer and supervise other programming staff.

• Review Statistical Analysis Plans, mock shells, programming specifications, annotated CRFs, and SAS database designs.

• Represent statistical programming in sponsor, kickoff, and bid defense meetings.

• Mentor programming staff through training, work review, constructive feedback, and guidance.

• Transfer deliverables efficiently.

• Execute other assigned work-related tasks.

⛳️ Requirements

• Possess an advanced degree in Statistics, Computer Science, or a related discipline.

• Have extensive experience in statistical programming within a clinical or pharmaceutical environment.

• Familiarity with CDISC programming (SDTM, ADaM) is essential.

• Experience with clinical trials and biomarker analyses is required.

• Demonstrate proficiency in R and RShiny.

• Have a strong grasp of statistical methods and data analysis techniques.

• Exhibit excellent problem-solving and analytical abilities.

• Capability to work autonomously as well as collaboratively in a team setting.

• Possess strong communication and interpersonal skills.

• SAS Certified Advanced Programmer for SAS 9 or an equivalent certification is preferred.

• Consideration will also be given to equivalent experience, skills, and/or education.

🏝️ Benefits

• Opportunities for career development and advancement.

• Supportive and engaged management team.

• Technical and therapeutic area training available.

• Recognition from peers.

• Comprehensive total rewards program.

• Commitment to an inclusive culture.

• Access to extensive resources including emerging technologies, data, science, and knowledge sharing.

• Opportunities for diverse career paths and progression.

• Minimal travel may be required.