Principal Statistician

🔥 50 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🔴 Lead

✨ Principal

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Worldwide Clinical Trials

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Worldwide Clinical Trials is a global contract research organization (CRO) that provides comprehensive clinical trial services. They specialize in supporting studies across diverse therapeutic areas such as oncology, cardiology, and rare diseases. With over 30 years of experience, Worldwide Clinical Trials emphasizes personalized support and customized solutions throughout the entire lifecycle of drug development. Their services include clinical monitoring, data management, patient recruitment, and regulatory consulting, ensuring precision and tailored attention for each clinical trial.

📋 Description

• Lead statistical strategy, design, analysis, and reporting activities across one or more clinical research projects or sponsor programmes • Develop and review Statistical Analysis Plans, study protocols, randomisation methodologies, and other key statistical deliverables • Provide expert statistical consultation to sponsors, project teams, and external stakeholders throughout the clinical trial lifecycle • Oversee the development, validation, and review of SAS programs, derived datasets, SDTM/ADaM datasets, and statistical outputs • Deliver high-quality tables, figures, listings, reports, and ad hoc analyses to support study objectives and decision-making • Collaborate with cross-functional teams, sponsors, vendors, and regulatory stakeholders to address statistical and reporting requirements • Mentor and guide biostatisticians on study design, analytical approaches, and statistical methodology • Contribute to process improvements, quality initiatives, policy development, and inspection-readiness activities to enhance efficiency and data quality • Represent the biostatistics function in sponsor meetings, external forums, and scientific discussions, keeping abreast of evolving statistical and regulatory developments

🎯 Requirements

• BSc with at least 8 years' relevant experience, MSc with at least 6 years' relevant experience, or PhD with at least 4 years' relevant experience in biostatistics or a related field • Demonstrated experience as a lead or project biostatistician, providing statistical leadership across clinical research studies • Broad experience applying statistical methods across multiple phases of clinical development and across a variety of therapeutic areas • Strong knowledge of clinical trial design, statistical analysis, regulatory standards, and interactions within regulated research environments • Advanced SAS programming expertise, including experience with SDTM, ADaM, derived datasets, and statistical reporting outputs • Excellent project planning, prioritisation, and time-management skills, with the ability to manage multiple studies simultaneously • Strong communication, consulting, influencing, and relationship-building skills, with experience collaborating across multidisciplinary teams and external stakeholders • Proficiency in English, with strong written and verbal communication skills

🏖️ Benefits

• Collaborative and inclusive environment • Growth and career development opportunities • Opportunity to learn and grow • Mentoring and professional development opportunities • Opportunity to contribute to statistical methodologies and best practices