
1001 - 5000 employees
Founded 2015
🧬 Biotechnology
🤖 Artificial Intelligence
Healthcare • Biotechnology • Artificial Intelligence
Tempus AI is an advanced healthcare technology company that specializes in precision medicine through the use of AI and genomic profiling. The company provides innovative solutions across various medical fields, including oncology, cardiology, neurology, and psychiatry. Tempus enables healthcare providers to make informed treatment decisions by integrating real-world data, clinical trial matching, and algorithmic testing to improve patient outcomes and accelerate drug development.
đź•’ February 13
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1001 - 5000 employees
Founded 2015
🧬 Biotechnology
🤖 Artificial Intelligence
Healthcare • Biotechnology • Artificial Intelligence
Tempus AI is an advanced healthcare technology company that specializes in precision medicine through the use of AI and genomic profiling. The company provides innovative solutions across various medical fields, including oncology, cardiology, neurology, and psychiatry. Tempus enables healthcare providers to make informed treatment decisions by integrating real-world data, clinical trial matching, and algorithmic testing to improve patient outcomes and accelerate drug development.
• Build and lead a high-performance team of biostatisticians • Provide expert conceptual and methodological leadership • Lead development on statistical analysis plan (SAP) • Drive the planning and delivery of key analytical or clinical components of regulatory submissions • Collaborate with data scientists, laboratory scientists, the medical team, technologists and the regulatory team on study design and analysis • Produce high-quality documentation for all projects • Stay updated on the latest methodological advances in real world data studies • Comply with all regulations and Company procedures
• Ph.D. or Masters Degree in Biostatistics, Statistics, or a related field with 7+ years (Ph.D.) / 9+ years (MS/MA) relevant industry experience • Proven experience working with Real World Data and its applications in clinical research • Experience developing SOPs to document departmental processes for biostatistics • Demonstrated management skills; ability to manage the work of Ph.D./MS level biostatisticians • Experience working with other groups involved in clinical research, such as Statistical Programmers, Clinical Operations, Data Managers • Thorough understanding of statistical principles and clinical experiment methodology • Computational skills using R, and/or SAS • Ability to work in a multi-disciplinary team setting • Able to prioritize and manage several projects simultaneously
• incentive compensation • restricted stock units • medical benefits
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