Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
More about our CorEvitas team:
The Biostatistics team for the Real-World Science department uses specialized statistical expertise to perform analyses such as assessing prescribing patterns, comparing effectiveness between treatments, and investigating differences in safety outcomes using complex longitudinal prospective and registry data. The team is comprised of key focus areas: query work, pharmacovigilance, and registry coordination.
What will you do in this role with our CorEvitas team?
The Lead Biostatistician will serve as the statistical lead on high-profile pharmacovigilance (PV) and safety-focused projects and will work collaboratively with cross-functional teams to support long-term post-authorization safety studies (PASS) and other regulatory commitments. This individual will independently design studies, develop statistical analysis plans, oversee analyses, and provide strategic statistical leadership to ensure high-quality and scientifically rigorous real-world evidence generation. A few key responsibilities are listed below.
Leads the statistical design, analysis, interpretation, and reporting of pharmacovigilance and safety-focused observational studies using complex longitudinal registry data
Collaborates with investigators, epidemiologists, clinicians, and clients to develop protocols, Statistical Analysis Plans (SAPs), and analytic strategies that support client objectives and regulatory commitments
Independently performs advanced statistical analyses and sample size/power calculations in accordance with SAPs and industry best practices
Provides strategic statistical leadership and independently makes sound statistical decisions related to safety analyses and real-world evidence generation
Oversees and mentors Biostatistician I/II analysts and other junior staff, ensuring quality, accuracy, and consistency of statistical analyses and documentation
Develops and implements standardized methodologies, analytical templates, and programming approaches to improve efficiency, reproducibility, and consistency across projects
Hiring requirements:
Education requirements
PhD in Biostatistics, Statistics, Mathematics is preferred. A master's degree in these same areas is required.
Experience requirements
Minimum 5-8 years of applied statistical experience in clinical research, pharmaceutical, biotechnology, CRO, hospital or academic is required.
Demonstrated experience leading complex observational research studies, equivalent to 3 years is required.
Experience with Pharmacovigilance or safety-focused analyses project lead experience is preferred.
Experience working with complex longitudinal registry or real-world data required
Demonstrated knowledge of retrospective and prospective observational study designs and related methodologies required.
Experience with causal inference theory and methods strongly preferred
Experience supporting regulatory safety studies, post-authorization safety
studies (PASS), or related pharmacovigilance activities preferred
Experience mentoring or supervising junior biostatisticians preferred
Collaborative research experience with publications in peer-reviewed journals preferred
Advanced proficiency in R required; experience with SAS preferred
Knowledge, Skills and Abilities
Strong understanding of statistical methodology for observational and longitudinal data analyses
Knowledge of pharmacovigilance principles, safety data evaluation, and real-world evidence generation preferred
Ability to independently lead projects, prioritize competing deliverables, and manage multiple timelines effectively
Strong scientific, analytical, problem-solving, leadership, and communication skills
Demonstrated ability to collaborate effectively across cross-functional teams and communicate complex statistical concepts to technical and non-technical audiences
Strong attention to detail and commitment to high-quality, reproducible analyses and documentation
Requires excellent written communication skills and adherence to best practices for statistical programming and code documentation
Ability to make independent judgments under limited supervision
Strong interpersonal skills and a collaborative team-oriented mindset
Location: Remote from home in the US! This role does not offer relocation benefits.
