Note: The job is a remote job and is open to candidates in USA. K3 Innovations is seeking an experienced Biostatistician to support innovative clinical development and evidence generation initiatives within a leading pharmaceutical organization. This role focuses on analyzing clinical trial data and contributing to publication strategy and advanced statistical methodologies that support scientific and regulatory decision-making.
Responsibilities
- Provide statistical expertise supporting clinical trial data analyses across development programs
- Perform external comparator and synthetic control analyses
- Apply advanced statistical methodologies, including:
- Propensity Score Matching
- Causal Inference Methods
- Meta-Analyses
- External Control Analyses
- Support evidence generation strategies for clinical development programs
- Collaborate with cross-functional teams to develop statistical approaches that support scientific objectives
- Contribute to the preparation of:
- Scientific manuscripts
- Conference abstracts
- Publications
- Scientific presentations
- Support publication planning and execution with medical and clinical teams
- Interpret complex statistical findings and communicate results to both technical and non-technical stakeholders
- Ensure analyses are scientifically rigorous, reproducible, and aligned with industry best practices
Skills
- M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or a related quantitative discipline
- Experience supporting clinical trial data analysis within the pharmaceutical or biotechnology industry
- Strong knowledge of advanced statistical methodologies, including: External Comparator Analyses, Synthetic Control Methods, Propensity Score Matching, Meta-Analysis, Causal Inference
- Experience supporting scientific publications and evidence generation
- Excellent analytical, problem-solving, and communication skills
- Ability to collaborate effectively across Medical Affairs, Clinical Development, HEOR, Biostatistics, and cross-functional scientific teams
- Experience with Real-World Evidence (RWE) data generation
- Oncology or specialty pharmaceutical experience
- Experience supporting regulatory or payer evidence generation initiatives
- Strong statistical programming experience using SAS and/or R
Company Overview
Company H1B Sponsorship