Summary
Join Tempus' Biostatistics team and contribute to the advancement of precision medicine. As a key member, you will lead statistical analysis plan development, execute studies, and collaborate with cross-functional teams. Your expertise in oncology and cardiology, coupled with strong analytical skills in R and experience with clinical studies, will be crucial. You will interpret results, prepare reports, and ensure compliance with regulations. The role demands independent problem-solving, collaboration, and a commitment to high-quality deliverables. This position offers the opportunity to work on impactful projects and contribute to the development of novel predictive tests.
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
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