Biostatistician III - Remote

Overview

An overview paragraph about the job

In Short

• Provide technical leadership and collaborate with stakeholders through the design and conduct of retrospective validation studies
• Lead development on statistical analysis plans -sample size and power calculations, and propose accurate and efficient statistical methodologies
• Execute study analysis, interpret the analysis results, and collaborate with stakeholders to on the study report and publication
• Provide statistical support required for any regulatory submissions
• Independent work on complex problems, and selecting and adapting novel methods as appropriate
• Collaborate in an interdisciplinary role with scientists and engineers to translate research into actionable insights for our clients
• Stay updated on the latest methodological advances in real-world data studies and clinical trials
• Comply with all regulations and Company procedures

Requirements

• A Ph.D. in Biostatistics, Statistics, or Epidemiology with a minimum of 3+ years of relevant experience working with clinical, epidemiologic studies, or the equivalent with a Master’s
• Experience in supporting studies in oncology, cardiology, and/or genomics
• Technical expertise and knowledge of experimental design, statistical performance measures of diagnostic assay, and survival analysis (i.e., time to event analysis)
• Computational skills using R, especially relevant statistical tools and packages

Benefits

• Extensive knowledge of time-to-event analysis and methodology
• Experience working in oncology and/or cardiology clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources)
• Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research
• Experience in cancer genetics, immunology, molecular biology, or ECG prediction model
• Self-driven and works well in interdisciplinary teams
• Collaborative mindset, an eagerness to learn, and a high integrity work ethic
• Sharp attention to detail and passion for delivering high-quality and timely analytics deliverables
• Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations