Lead Biostatistician - Statistical Programming

The Lead Biostatistician / Statistical Programmer plays a key role in driving profitable growth by leading proposal development and project execution in alignment with the organization’s strategic objectives. This role partners closely with Client Partners to support proactive business development, deliver high-quality services to clients, and ensure project profitability. The Lead Biostatistician builds and maintains trusted advisor relationships with clients and internal teams, focusing on delivering client value and fostering long-term growth.

They are responsible for developing and leading high-performing project teams, ensuring all work is conducted in compliance with internal SOPs, ICH guidelines, industry standards, and regulatory requirements. Key responsibilities include:

• Reviewing and approving all biostatistics documentation and statistical programming outputs.
• Overseeing project budgets and timelines.
• Ensuring overall quality and consistency across assigned accounts.
• Contributing to talent acquisition efforts.
• Collaborating with Quality Management to establish and maintain standard operating procedures (SOPs) and training programs.
• Providing advanced statistical expertise in the planning and design of clinical trials and non-interventional studies (NIS).
• Performing in-depth data analyses and offering statistical guidance for study reporting.

What you will do:

• Provide strategic statistical guidance on study design, including statistical model selection, sample size calculations, and analysis planning across clinical trials and non-interventional studies (NIS).
• Lead the development and programming of statistical analyses, tables, figures, and listings (TFLs) using SAS, ensuring alignment with sponsor requirements and internal standards.
• Generate and validate derived analysis datasets in compliance with CDISC ADaM standards.
• Author, review, and ensure rigorous quality control (QC) of Statistical Analysis Plans (SAPs) and related statistical documentation.
• Validate programming output (., TFLs, datasets) generated by team members to ensure accuracy and consistency.
• Provide expert statistical input to study documents, including Case Report Forms (CRFs), Data Management Plans (DMPs), and clinical protocols.
• Oversee and ensure proper execution of randomization procedures.
• Conduct and interpret meta-analyses using statistical results from multiple published studies, ensuring scientifically robust conclusions.
• Lead the statistical review and interpretation of Clinical Study Reports (CSRs), ensuring alignment with the SAP and regulatory expectations.
• Proactively prioritize and manage multiple studies and projects to meet timelines and client expectations, balancing resources and risk.
• Serve as a primary statistical point of contact for internal and external stakeholders, providing clear, compliant, and insightful responses and guidance.
• Ensure all statistical deliverables meet applicable regulatory standards (., ICH, GCP), industry guidelines, and internal SOPs.
• Foster and maintain trusted relationships with clients, leading communication on statistical matters and contributing to long-term collaboration.
• Drive the continuous improvement and development of internal statistical programming practices, guidelines, and SOPs.
• Mentor junior team members, contribute to training initiatives, and promote a high-performing, quality-focused team culture.
• Serve as a domain expert, integrating clinical, statistical, and industry best practices to design tailored solutions for complex client needs.
• Collaborate with cross-functional teams to deliver innovative, high-impact statistical strategies that align with client objectives.

Requirements:

• Education: Master’s degree in Statistics, Biostatistics, or a related quantitative field is required with a minimum of 5-8 years of practical experience. PhD in a relevant field is highly preferred.
• Experience: Minimum 5–8 years of relevant experience in biostatistics, preferably in the pharmaceutical, CRO, or life sciences sector. Solid experience with non-interventional / observational studies and Phase 3 or Phase 4 clinical trials. Demonstrated experience working with CDISC standards (including SDTM and ADaM). Good knowledge of the industrial standards (CDISC, ICH E9, GCP). Proficiency in SAS and R programming with a minimum of 5 years of experience with both software. Prior experience acting as a client-facing lead statistician, including proposal support and study design. Strong understanding of project management, including budget management, timelines, and resource allocation. Experience mentoring or leading junior statisticians or project team members. Ability to further develop programming standards and research methods.
• Skills: Excellent communication skills (written and verbal) in English. Ability to manage multiple studies and clients simultaneously. Strong organizational skills and attention to detail. High level of initiative, accountability, and professionalism. Excellent skills and knowledge of MS Office and IT. Sound numerical reasoning. Highly analytical with a problem-solving approach.

Career Level - IC4