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Head of Quantitative Science
Posted on 8/24/2022
Experience Level
Desired Skills
Data Analysis
Data Science
  • Have a PhD in biostatistics, data science, epidemiology or related quantitative field
  • Have >=8 years experience working within the pharmaceutical industry with increasing levels of responsibility, including EHR and claims RWE scientific expertise
  • Have in-depth knowledge of advanced statistical methods including causal inference techniques, propensity weighting, and other robust methods using observational data
  • Are an expert level programming capability in R, with familiarity writing packages and building tools in the RStudio ecosystem
  • Have experience working with machine learning models
  • Have provided analytic support for regulatory submissions
  • Love working with data and have experience exploring it with a critical and thoughtful eye
  • Are solutions-oriented, able to appropriately titrate effort to the needs of a given project and willing and able to roll up your sleeves and work directly with the data when needed
  • Have knowledge of OMOP, SDTM and other common data formats
  • Have a track record of scientific publications showing expertise in: how to leverage RWD to answer complex research questions, observational and RWD study design, analysis, and interpretation using scientifically rigorous methods
  • Have excellent written and verbal communication skills and a unique ability to communicate complex technical topics to diverse audiences
  • Provide statistical leadership and expertise to the PicnicHealth Research organization
  • Oversee data and analytic deliverables, including sign-off on requirements, analysis plans, protocols and reports, and ensure adherence to data quality standards
  • Leverage statistical expertise, as well as a solid understanding of our data models and RWD-appropriate analytic methods, to provide guidance on endpoint development, algorithm development, data validation and QC, integration of new data types for research and commercialization, and appropriateness of different analytical strategies
  • Be an internal and external thought leader and advocate for novel uses of patient-centric real world data
  • Provide expertise and leadership to developing best-in-class analytics infrastructure in the R environment (packages, dashboards, apps)to support internal and external users
  • Responsible for statistical integrity of scientific analyses conducted using PicnicHealth data
  • Lead, recruit, mentor and retain a highly skilled team of biostatisticians and data scientists
Picnic Health
Medical record access & management
Company Overview
Picnic operates an online platform created to provide grocery supermarket services at low prices.