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Data Scientist II, Real World Evidence - Remote

Posted 18 weeks ago
Data Analysis
Full Time
United States

Overview

Tempus is seeking a highly motivated RWE Data Scientist to advance the healthcare industry through real-world evidence analysis, particularly in oncology.

In Short

  • Lead independent analysis of Tempus data for RWE studies.
  • Perform extensive coding and derive real-world endpoints.
  • Interpret results of RWE analyses and evaluate study limitations.
  • Communicate research findings to external Pharma partners.
  • Collaborate with internal teams to enhance data quality and practices.
  • Stay updated on methodological advancements in real-world studies.
  • Ensure compliance with regulations and company procedures.

Requirements

  • Education in epidemiology, biostatistics, data science, or related fields.
  • Familiar with observational real-world healthcare data.
  • Proven expertise in RWD analytical studies.
  • Proficient in R and SQL.
  • Experience interfacing with clients and presenting to stakeholders.
  • Excellent project management skills.
  • Strong communication skills for technical concepts.
  • Eagerness to learn and maintain integrity.

Benefits

  • Experience working with Pharma or drug development.
  • Experience of phase II-IV clinical trials.
  • Analytical proficiency with claims, EHR, or registry data.
  • Knowledge of oncology.
  • Experience with biomarker or molecular data.
  • Experience with AWS and/or Bigquery.
  • Experience producing code in a collaborative environment.
Tempus logo

Tempus

Tempus is a pioneering technology company focused on precision medicine and transforming the healthcare industry through advanced AI solutions. Their proprietary platform integrates real-world evidence to provide physicians with real-time, actionable insights, ensuring that patients receive the most effective treatments tailored to their unique needs. Tempus is dedicated to advancing cancer precision medicine by leveraging multimodal datasets and cutting-edge machine learning techniques, fostering collaboration across various teams to drive innovation in drug development and clinical testing.

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