The Director, Biostatistics, will serve as the strategic and operational lead for all biostatistical activities across our clinical pipeline. You will be responsible for statistical strategy, analysis planning, vendor oversight, and ensuring high-quality, submission ready statistical outputs for all programs. You will be expected to have an in-depth understanding of advanced statistical methods, including innovative trial designs and endpoints, missing data and multiplicity handling. You will have a thorough understanding and capability to implement state-of-the-art innovative statistical methodology for the design, execution and evaluation of clinical trials. Reports to the Head of Biometrics.
Key Responsibilities
- Lead statistical strategy for all studies, including study design, sample size calculations, and endpoint selection.
- Develop Statistical Analysis Plans (SAPs), mock shells, and analysis specifications.
- Ensure accuracy, efficiency, robustness in statistical analysis, interpretation, reporting, and presentation of clinical study results
- Provide statistical oversight for clinical data review, interim analyses, doseescalation decisions, and safety monitoring.
- Partner cross functionally with Clinical Development, Clinical Operation, Data Management, Statistical Programming, Regulatory, and Translational Sciences.
- Guide biomarker, PK/PD, and immunogenicity analyses relevant to bispecific antibody mechanisms.
- Oversee CROs performing statistical programming, analysis, and TLF generation.
- Oversee biostatistical contractors and mentor junior team members as needed.
- Support regulatory submissions including briefing documents, IND amendments, DSURs, and future BLA components.
- Provide statistical input into protocols, study designs, and clinical development strategies.
Qualifications:
- PhD or Master’s degree in Biostatistics, Statistics, or related quantitative fields.
- 10+ years of biostatistics experience in biotech/pharma, including direct oversight of clinical trials.
- Experience with bispecific antibodies, biologics, or immunology preferred
- Strong expertise in clinical study design, SAP development, and regulatorygrade statistical outputs.
- Deep knowledge of CDISC, ICHE9, and regulatory expectations.
- Deep knowledge of advanced statistical methods, including innovative trial designs and endpoints, missing data and multiplicity handling.
- Experience managing CROs and statistical programming teams.
- Ability to operate strategically while executing handson analyses in a lean environment.
- Experience supporting regulatory interactions and submissions.
- Proficiency with R, SAS, and modern data visualization tools.