Biostatistician III

Summary

Join Tempus' Biostatistics team as a highly motivated scientific professional. Collaborate with data scientists and clinical teams to design and conduct retrospective validation studies. Lead the development of statistical analysis plans, execute analyses, and contribute to study reports and publications. Provide statistical support for regulatory submissions and work independently on complex problems. Collaborate with scientists and engineers to translate research into actionable insights. Stay updated on methodological advances and comply with regulations. This role requires a Ph.D. in a relevant field with 3+ years of experience and expertise in specific statistical methods and software.

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

Responsibilities

• 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

Preferred Qualifications

• 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
• Working experience and knowledge of FDA regulations and guidelines
• Experience with version control and software testing
• Experience supporting data science teams in model building and validation
• Client-facing or consulting experience and comfort with presenting results to stakeholders
• Proficient in SQL

Benefits

• Incentive compensation
• Restricted stock units
• Medical and other benefits