Biostatistician II

Summary

Join Tempus Discover team as a Biostatistician II and contribute to the advancement of precision medicine in oncology. You will lead independent data analysis, present findings to research partners, and stay current on methodological advancements. This role requires experience with healthcare data, computational skills in R and SQL, and strong project management abilities. The ideal candidate will possess experience with genomic data and time-to-event methodologies. Collaboration with multidisciplinary teams is essential. Tempus offers a competitive salary and a full range of benefits.

Requirements

• 1+ years of post-grad experience in computational biology, epidemiology, biostatistics, data science or related fields
• 1+ post-grad experience with healthcare data
• Computational skills using R and SQL, especially relevant statistical tools and packages
• Experience deriving oncology-specific clinical insights using genomic data and deriving real-world endpoints using time-to-event methodologies within a retrospective database
• Excellent project management skills, with proven ability to collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using omics datasets (genomics, transcriptomics)
• Thrive in a fast-paced environment and demonstrate ability to communicate technical concepts to non-technical stakeholders
• A collaborative mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors

Responsibilities

• Lead independent analysis of Tempus data in support of research initiatives in Medical Affairs, involving extensive coding and comprehension of Tempus molecular and clinical data
• Present insights from research studies to external research partners through formal presentations and communicate research findings effectively
• Stay updated on methodological advancements in real-world studies, next-generation sequencing (DNA/RNA), and oncology guidelines
• Ensure compliance with all relevant regulations and company procedures
• Participate in publications and podium activities

Preferred Qualifications

• Familiarity with cancer genetics, immunology, or molecular biology
• Experience with engineering practices for research computing (Docker, Git, and Github, code review, Linux, cloud computing)
• Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP)
• Proficiency in machine learning techniques, with a nuanced understanding of the strengths and limitations of various approaches, particularly regarding predictive and prognostic algorithms in medical research

Benefits

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