PicnicHealth is seeking to scale its biostatistics function to meet the demands of its growing non-interventional study portfolio, aiming to establish best-in-class processes and mentor a growing team to ensure scientific rigor and success in their AI-powered clinical research.
Requirements
- Deep expertise in statistical methods for observational and real-world evidence (RWE) studies, particularly in the application of causal inference methods (e.g., propensity score matching, marginal structural models) to design and execute complex analyses like external control arms (ECAs), along with advanced techniques for handling missing data.
- Deep expertise with multiple real-world data sources (medical records, claims, wearables, PROs, ClinROs).
- Expert proficiency in R and the tidyverse; experience with SAS or Python is a plus.
- Familiarity with clinical ontologies (e.g., ICD, RxNorm, SNOMED, LOINC, MedDRA, WHO-DD) and standard data formats (e.g. OMOP, SDTM, ADaM).
- Focus on and successful experimentation with, integrating AI into your standard practices and workflows, and ideas for new applications here at PicnicHealth.
- Experience with regulatory interactions (e.g., FDA, EMA)
Responsibilities
- Own the biostatistics function within our delivery team, including managing and scaling a high-performing team of biostatisticians to meet the demands of our growing non-interventional study portfolio that leverages both primary (e.g., PROs, ClinROs, wearables) and secondary data (e.g., medical records, claims).
- Define and implement the operational roadmap for Biostatistics, establishing the standards, processes, and best practices for delivering efficient, high-quality statistical deliverables.
- Serve as the lead biostatistics partner to internal teams and external clients, providing expert consultation to shape study strategy and build long-term, confident partnerships.
- Provide senior strategic oversight for all client-facing statistical matters, taking ultimate accountability for resolving methodological challenges.
- Champion and integrate AI and other novel technologies to enhance analytical capabilities, drive efficiency, and establish our team as an industry leader in tech-forward research.
- Act as a player-coach, rolling up your sleeves to lead and execute complex analyses on key projects while the team scales.
Other
- An advanced degree (MS or PhD) in Biostatistics, Statistics, or a related quantitative field.
- 10+ years of experience in biostatistics within the life sciences (pharma, biotech, CRO), with at least 5 years of direct people management experience.
- Proven ability to lead consultative interactions with senior client stakeholders, with exceptional communication skills, executive presence, and the ability to instill confidence.
- Demonstrated experience building or scaling team processes, including creating SOPs, standard documentation, and QC/review workflows.
- Expect to travel 2-4 times a year.
