Remote Biostatistician II, Medical Affairs

Summary

Join our Tempus Discover team supporting Medical Affairs as a Biostatistician II to lead independent analysis of Tempus data in support of research initiatives, present insights to external research partners, and stay updated on methodological advancements.

Requirements

• 1+ years of post-grad experience in computations 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 demonstrated 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