Senior Statistical Programmer

Description

The company is a clinical research organisation, and this role sits in its global statistical programming team, which works across time zones.

If a connection at the company referred you, apply through the referral link sent to you by email.

The team values innovation, open-mindedness and shared values such as courage, accountability, honesty, inclusion and lifting up colleagues.

The senior statistical programmer supports or leads statistical programming on client clinical trials, delivering high-quality outputs on schedule under the relevant SOPs, and helps allocate resources across projects.

Responsibilities

• Lead statistical programming on some clinical projects and support it on others.
• Specify, program and validate CDISC SDTM and ADaM datasets.
• Specify, program and validate statistical analysis outputs, including analysis datasets, tables, listings and figures.
• Write and review CDISC documentation.
• Create and validate randomization lists.
• Make sure work complies with SOPs.
• Report deviations, KPIs and customer complaints, and manage CAPAs.
• Supervise tasks carried out by statistical programmers and guide the programming team on procedures and technical standards.
• Plan and deliver internal or external training on statistical programming techniques.
• Find, build and develop new techniques, solutions, tools and products.
• Spot opportunities to improve efficiency and processes, and lead internal projects that improve department methods.
• Communicate clearly with internal and external project teams.
• Escalate issues to the Project Manager or Associate Director in a timely way.
• Support Quality Assurance during internal audits.
• Take on other statistical programming tasks as needed.

Requirements

• A BSc or MSc, or equivalent experience, ideally in statistics, computer science or mathematics.
• At least 3 years of statistical programming experience.
• Strong SAS programming skills.
• Knowledge of R is a plus.
• Very good understanding of clinical research principles and techniques.
• Good English communication skills.
• Good working knowledge of MS Office Suite.
• Trustworthy and quality-focused.
• Able to set priorities effectively and to lead teams and delegate tasks.
• Willing to learn, a strong team player, and analytical with good problem-solving skills.
• Innovative in approach.

Conditions

The final offer falls within the location-specific pay range and depends on the confirmed work location, relevant experience, skills, qualifications, internal equity and role scope.

Contract type: contingency workforce.

The company is an equal opportunity employer.