Description
Principal Biostatistician – Early Phase (PK) 🧬
CAD $240,000 base💰
Fully remote – Canada
Influence early-phase clinical strategy and PK-driven decision making across an innovative development portfolio 🎯
About
Join a leading global provider within the biotech/pharma space, supporting an innovative clinical development portfolio focused on advancing therapies that address significant unmet medical needs.
This role sits within early clinical development, with a strong emphasis on healthy volunteer studies and PK/PD endpoints. The environment is scientifically rigorous, collaborative, and fast-paced, with meaningful upcoming development milestones.
Why This Role Matters
Early-phase studies set the trajectory for an entire program. In this role, you will provide senior-level statistical expertise to ensure robust design, high-quality analysis, and clear interpretation of PK data that directly informs downstream clinical and regulatory strategy.
The team is seeking someone with genuine hands-on PK experience who enjoys owning their work while collaborating closely with Clinical Pharmacology, Clinical Development, and Data Management.
What You Will Do
- Provide statistical leadership for early-phase clinical studies with PK/PD endpoints
- Author statistical sections of protocols, including sample size calculations
- Develop and review SAPs, randomization specifications, datasets, and TLFs
- Perform and validate analyses using SAS (R a plus)
- Contribute to clinical study reports and regulatory documentation
- Partner cross-functionally to ensure aligned timelines and high-quality deliverables
- Support exploratory and IND-enabling analyses where required
What You Bring
- PhD in Statistics/Biostatistics with 3+ years of industry experience, or MS with 5+ years
- 2+ years of hands-on experience analyzing non-compartmental PK endpoints in industry
- Strong understanding of ICH GCP and regulatory expectations for clinical pharmacology studies
- Experience working with CDISC standards (SDTM, ADaM, CDASH)
- Proficiency in SAS for independent analysis and validation
- Ability to independently manage projects and make sound statistical decisions
- Strong communication skills and experience collaborating with cross-functional teams
Preferred: Exposure to statistical modeling, simulation methods, or PD/biomarker analyses.
Why It’s Special
- Fully remote across Canada
- High-impact early development work
- Strong balance of autonomy and collaboration
- Opportunity suited to someone senior yet still technically hands-on
- Stable environment with long-term visibility





